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You searched for subject:(Human pose estimation). Showing records 1 – 30 of 32 total matches.

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1. Balan, Alexandru Octavian. Detailed Human Shape and Pose from Images.

Degree: PhD, Computer Science, 2010, Brown University

 Automating the process of measuring human shape characteristics and estimating body postures from images is central to many practical applications. While the problem is difficult… (more)

Subjects/Keywords: human pose and shape estimation

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APA (6th Edition):

Balan, A. O. (2010). Detailed Human Shape and Pose from Images. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:11069/

Chicago Manual of Style (16th Edition):

Balan, Alexandru Octavian. “Detailed Human Shape and Pose from Images.” 2010. Doctoral Dissertation, Brown University. Accessed October 20, 2019. https://repository.library.brown.edu/studio/item/bdr:11069/.

MLA Handbook (7th Edition):

Balan, Alexandru Octavian. “Detailed Human Shape and Pose from Images.” 2010. Web. 20 Oct 2019.

Vancouver:

Balan AO. Detailed Human Shape and Pose from Images. [Internet] [Doctoral dissertation]. Brown University; 2010. [cited 2019 Oct 20]. Available from: https://repository.library.brown.edu/studio/item/bdr:11069/.

Council of Science Editors:

Balan AO. Detailed Human Shape and Pose from Images. [Doctoral Dissertation]. Brown University; 2010. Available from: https://repository.library.brown.edu/studio/item/bdr:11069/


Georgia Tech

2. Serrano, Miguel M. RAPTr: Robust articulated point-set tracking.

Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech

 The objective of this work is to present the Robust Articulated Point-set Tracking (RAPTr) system. It works by synthesizing components from articulated model-based and machine… (more)

Subjects/Keywords: Human pose estimation; Machine learning; Clinical gait metrics; Infant pose estimation

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APA (6th Edition):

Serrano, M. M. (2018). RAPTr: Robust articulated point-set tracking. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60730

Chicago Manual of Style (16th Edition):

Serrano, Miguel M. “RAPTr: Robust articulated point-set tracking.” 2018. Doctoral Dissertation, Georgia Tech. Accessed October 20, 2019. http://hdl.handle.net/1853/60730.

MLA Handbook (7th Edition):

Serrano, Miguel M. “RAPTr: Robust articulated point-set tracking.” 2018. Web. 20 Oct 2019.

Vancouver:

Serrano MM. RAPTr: Robust articulated point-set tracking. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/1853/60730.

Council of Science Editors:

Serrano MM. RAPTr: Robust articulated point-set tracking. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60730

3. Kawana, Yuki. Ensemble Convolutional Neural Network for Human Pose Estimation : 人体姿勢推定のための畳み込みニューラルネットワーク; ジンタイ シセイ スイテイ ノ タメ ノ タタミコミ ニューラル ネットワーク.

Degree: Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

Subjects/Keywords: Human Pose Estimation

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APA (6th Edition):

Kawana, Y. (n.d.). Ensemble Convolutional Neural Network for Human Pose Estimation : 人体姿勢推定のための畳み込みニューラルネットワーク; ジンタイ シセイ スイテイ ノ タメ ノ タタミコミ ニューラル ネットワーク. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/10525

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kawana, Yuki. “Ensemble Convolutional Neural Network for Human Pose Estimation : 人体姿勢推定のための畳み込みニューラルネットワーク; ジンタイ シセイ スイテイ ノ タメ ノ タタミコミ ニューラル ネットワーク.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed October 20, 2019. http://hdl.handle.net/10061/10525.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kawana, Yuki. “Ensemble Convolutional Neural Network for Human Pose Estimation : 人体姿勢推定のための畳み込みニューラルネットワーク; ジンタイ シセイ スイテイ ノ タメ ノ タタミコミ ニューラル ネットワーク.” Web. 20 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Kawana Y. Ensemble Convolutional Neural Network for Human Pose Estimation : 人体姿勢推定のための畳み込みニューラルネットワーク; ジンタイ シセイ スイテイ ノ タメ ノ タタミコミ ニューラル ネットワーク. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10061/10525.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Kawana Y. Ensemble Convolutional Neural Network for Human Pose Estimation : 人体姿勢推定のための畳み込みニューラルネットワーク; ジンタイ シセイ スイテイ ノ タメ ノ タタミコミ ニューラル ネットワーク. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; Available from: http://hdl.handle.net/10061/10525

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


Universiteit Utrecht

4. Sondaar, M.W. Signal processing and pose estimation using accelerometers.

Degree: 2015, Universiteit Utrecht

 When capturing the pose of actors for use in games, commercial companies often use dedicated rooms with expensive equipment to accurately establish the pose of… (more)

Subjects/Keywords: accelerometers; pose estimation; signal processing; human computer interaction; motion capture

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APA (6th Edition):

Sondaar, M. W. (2015). Signal processing and pose estimation using accelerometers. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/309650

Chicago Manual of Style (16th Edition):

Sondaar, M W. “Signal processing and pose estimation using accelerometers.” 2015. Masters Thesis, Universiteit Utrecht. Accessed October 20, 2019. http://dspace.library.uu.nl:8080/handle/1874/309650.

MLA Handbook (7th Edition):

Sondaar, M W. “Signal processing and pose estimation using accelerometers.” 2015. Web. 20 Oct 2019.

Vancouver:

Sondaar MW. Signal processing and pose estimation using accelerometers. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2019 Oct 20]. Available from: http://dspace.library.uu.nl:8080/handle/1874/309650.

Council of Science Editors:

Sondaar MW. Signal processing and pose estimation using accelerometers. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/309650


University of California – Irvine

5. Park, Dennis. Tracking people and their poses.

Degree: Computer Science, 2014, University of California – Irvine

 Automatically tracking people and their body poses in unconstrained videos is a core prob- lem of computer vision. It serves as a foundation for high-level… (more)

Subjects/Keywords: Computer science; human pose estimation; tracking articulated body

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APA (6th Edition):

Park, D. (2014). Tracking people and their poses. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/3vg6z9cz

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Park, Dennis. “Tracking people and their poses.” 2014. Thesis, University of California – Irvine. Accessed October 20, 2019. http://www.escholarship.org/uc/item/3vg6z9cz.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Park, Dennis. “Tracking people and their poses.” 2014. Web. 20 Oct 2019.

Vancouver:

Park D. Tracking people and their poses. [Internet] [Thesis]. University of California – Irvine; 2014. [cited 2019 Oct 20]. Available from: http://www.escholarship.org/uc/item/3vg6z9cz.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Park D. Tracking people and their poses. [Thesis]. University of California – Irvine; 2014. Available from: http://www.escholarship.org/uc/item/3vg6z9cz

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Colorado State University

6. Mulay, Gururaj. Adapting RGB pose estimation to new domains.

Degree: MS(M.S.), Computer Science, 2019, Colorado State University

 Many multi-modal human computer interaction (HCI) systems interact with users in real-time by estimating the user's pose. Generally, they estimate human poses using depth sensors… (more)

Subjects/Keywords: CWC; Human Pose Estimation; RMPE; HCI; Convolutional Neural Networks; Microsoft Kinect

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APA (6th Edition):

Mulay, G. (2019). Adapting RGB pose estimation to new domains. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/195409

Chicago Manual of Style (16th Edition):

Mulay, Gururaj. “Adapting RGB pose estimation to new domains.” 2019. Masters Thesis, Colorado State University. Accessed October 20, 2019. http://hdl.handle.net/10217/195409.

MLA Handbook (7th Edition):

Mulay, Gururaj. “Adapting RGB pose estimation to new domains.” 2019. Web. 20 Oct 2019.

Vancouver:

Mulay G. Adapting RGB pose estimation to new domains. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10217/195409.

Council of Science Editors:

Mulay G. Adapting RGB pose estimation to new domains. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195409


University of Manchester

7. Fergie, Martin Paul. Discriminative pose estimation using mixtures of Gaussian processes.

Degree: PhD, 2013, University of Manchester

 This thesis proposes novel algorithms for using Gaussian processes for Discriminative pose estimation. We overcome the traditional limitations of Gaussian processes, their cubic training complexity… (more)

Subjects/Keywords: 518.1; human pose estimation; computer vision; gaussian process; dynamical systems; mixture of experts

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APA (6th Edition):

Fergie, M. P. (2013). Discriminative pose estimation using mixtures of Gaussian processes. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/discriminative-pose-estimation-using-mixtures-of-gaussian-processes(462e72b8-ab98-4517-9649-4c2b9bec4b04).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574356

Chicago Manual of Style (16th Edition):

Fergie, Martin Paul. “Discriminative pose estimation using mixtures of Gaussian processes.” 2013. Doctoral Dissertation, University of Manchester. Accessed October 20, 2019. https://www.research.manchester.ac.uk/portal/en/theses/discriminative-pose-estimation-using-mixtures-of-gaussian-processes(462e72b8-ab98-4517-9649-4c2b9bec4b04).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574356.

MLA Handbook (7th Edition):

Fergie, Martin Paul. “Discriminative pose estimation using mixtures of Gaussian processes.” 2013. Web. 20 Oct 2019.

Vancouver:

Fergie MP. Discriminative pose estimation using mixtures of Gaussian processes. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2019 Oct 20]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/discriminative-pose-estimation-using-mixtures-of-gaussian-processes(462e72b8-ab98-4517-9649-4c2b9bec4b04).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574356.

Council of Science Editors:

Fergie MP. Discriminative pose estimation using mixtures of Gaussian processes. [Doctoral Dissertation]. University of Manchester; 2013. Available from: https://www.research.manchester.ac.uk/portal/en/theses/discriminative-pose-estimation-using-mixtures-of-gaussian-processes(462e72b8-ab98-4517-9649-4c2b9bec4b04).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574356


UCLA

8. Qiu, Weichao. Generating Human Images and Ground Truth using Computer Graphics.

Degree: Statistics, 2016, UCLA

 How to provide high quality data for computer vision is a challenge. Researchers spent a lot of effort creating image datasets with more images and… (more)

Subjects/Keywords: Artificial intelligence; computer graphics; computer vision; dataset; human image; pose estimation; synthetic images

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Qiu, W. (2016). Generating Human Images and Ground Truth using Computer Graphics. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/5gc307m8

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Qiu, Weichao. “Generating Human Images and Ground Truth using Computer Graphics.” 2016. Thesis, UCLA. Accessed October 20, 2019. http://www.escholarship.org/uc/item/5gc307m8.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Qiu, Weichao. “Generating Human Images and Ground Truth using Computer Graphics.” 2016. Web. 20 Oct 2019.

Vancouver:

Qiu W. Generating Human Images and Ground Truth using Computer Graphics. [Internet] [Thesis]. UCLA; 2016. [cited 2019 Oct 20]. Available from: http://www.escholarship.org/uc/item/5gc307m8.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Qiu W. Generating Human Images and Ground Truth using Computer Graphics. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/5gc307m8

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – San Diego

9. Gong, Chenghao. Continuous Human Pose Estimation Using Long Short-Term Memory and Particle Filter.

Degree: Electrical and Computer Engineering, 2019, University of California – San Diego

 Estimating human pose in a continuous time series has many practical applications. For example, imagine that some time in the future robot would like to… (more)

Subjects/Keywords: Electrical engineering; Human Pose Estimation; Long Short-Term Memory; Particle Filter; Tracking

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APA (6th Edition):

Gong, C. (2019). Continuous Human Pose Estimation Using Long Short-Term Memory and Particle Filter. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/2zs9x7kc

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gong, Chenghao. “Continuous Human Pose Estimation Using Long Short-Term Memory and Particle Filter.” 2019. Thesis, University of California – San Diego. Accessed October 20, 2019. http://www.escholarship.org/uc/item/2zs9x7kc.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gong, Chenghao. “Continuous Human Pose Estimation Using Long Short-Term Memory and Particle Filter.” 2019. Web. 20 Oct 2019.

Vancouver:

Gong C. Continuous Human Pose Estimation Using Long Short-Term Memory and Particle Filter. [Internet] [Thesis]. University of California – San Diego; 2019. [cited 2019 Oct 20]. Available from: http://www.escholarship.org/uc/item/2zs9x7kc.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gong C. Continuous Human Pose Estimation Using Long Short-Term Memory and Particle Filter. [Thesis]. University of California – San Diego; 2019. Available from: http://www.escholarship.org/uc/item/2zs9x7kc

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

10. Ali, Ashar. 3D human pose estimation.

Degree: MS, Electrical and Computer Engineering, 2019, Georgia Tech

 The objective of the proposed work is to understand how using synthetic datasets and automatic annotation policies can further state of the art research for… (more)

Subjects/Keywords: 3D computer vision; Human pose estimation; Point cloud processing; Deep learning on point clouds

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APA (6th Edition):

Ali, A. (2019). 3D human pose estimation. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61286

Chicago Manual of Style (16th Edition):

Ali, Ashar. “3D human pose estimation.” 2019. Masters Thesis, Georgia Tech. Accessed October 20, 2019. http://hdl.handle.net/1853/61286.

MLA Handbook (7th Edition):

Ali, Ashar. “3D human pose estimation.” 2019. Web. 20 Oct 2019.

Vancouver:

Ali A. 3D human pose estimation. [Internet] [Masters thesis]. Georgia Tech; 2019. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/1853/61286.

Council of Science Editors:

Ali A. 3D human pose estimation. [Masters Thesis]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61286

11. Ariz Galilea, Mikel. Contributions to Head Pose Estimation methods.

Degree: 2018, Universidad Pública de Navarra

Subjects/Keywords: Head Pose Estimation (HPE); Human-computer interfaces (HCI)

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APA (6th Edition):

Ariz Galilea, M. (2018). Contributions to Head Pose Estimation methods. (Thesis). Universidad Pública de Navarra. Retrieved from http://hdl.handle.net/2454/28657

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ariz Galilea, Mikel. “Contributions to Head Pose Estimation methods.” 2018. Thesis, Universidad Pública de Navarra. Accessed October 20, 2019. http://hdl.handle.net/2454/28657.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ariz Galilea, Mikel. “Contributions to Head Pose Estimation methods.” 2018. Web. 20 Oct 2019.

Vancouver:

Ariz Galilea M. Contributions to Head Pose Estimation methods. [Internet] [Thesis]. Universidad Pública de Navarra; 2018. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/2454/28657.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ariz Galilea M. Contributions to Head Pose Estimation methods. [Thesis]. Universidad Pública de Navarra; 2018. Available from: http://hdl.handle.net/2454/28657

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Oxford

12. Pfister, Tomas. Advancing human pose and gesture recognition.

Degree: PhD, 2015, University of Oxford

 This thesis presents new methods in two closely related areas of computer vision: human pose estimation, and gesture recognition in videos. In human pose estimation,… (more)

Subjects/Keywords: 006.3; Computing; Image understanding; Information engineering; computer vision; deep learning; machine learning; human pose estimation; gesture recognition

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APA (6th Edition):

Pfister, T. (2015). Advancing human pose and gesture recognition. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:64e5b1be-231e-49ed-b385-e87db6dbeed8 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.658521

Chicago Manual of Style (16th Edition):

Pfister, Tomas. “Advancing human pose and gesture recognition.” 2015. Doctoral Dissertation, University of Oxford. Accessed October 20, 2019. http://ora.ox.ac.uk/objects/uuid:64e5b1be-231e-49ed-b385-e87db6dbeed8 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.658521.

MLA Handbook (7th Edition):

Pfister, Tomas. “Advancing human pose and gesture recognition.” 2015. Web. 20 Oct 2019.

Vancouver:

Pfister T. Advancing human pose and gesture recognition. [Internet] [Doctoral dissertation]. University of Oxford; 2015. [cited 2019 Oct 20]. Available from: http://ora.ox.ac.uk/objects/uuid:64e5b1be-231e-49ed-b385-e87db6dbeed8 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.658521.

Council of Science Editors:

Pfister T. Advancing human pose and gesture recognition. [Doctoral Dissertation]. University of Oxford; 2015. Available from: http://ora.ox.ac.uk/objects/uuid:64e5b1be-231e-49ed-b385-e87db6dbeed8 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.658521


University of Waterloo

13. Kianifar, Rezvan. Automated Pose Estimation for the Assessment of Dynamic Knee Valgus and Risk of Knee Injury during the Single Leg Squat.

Degree: 2017, University of Waterloo

 Many clinical assessment protocols rely on the evaluation of functional movement tests such as the Single Leg Squat (SLS), which are often assessed visually. Visual… (more)

Subjects/Keywords: Human Pose Estimation; Single Leg Squat; Inertial Measurement Unit; Classification; Risk of Knee Injury Assessment; Dynamic Knee Valgus Assessment

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APA (6th Edition):

Kianifar, R. (2017). Automated Pose Estimation for the Assessment of Dynamic Knee Valgus and Risk of Knee Injury during the Single Leg Squat. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/11779

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kianifar, Rezvan. “Automated Pose Estimation for the Assessment of Dynamic Knee Valgus and Risk of Knee Injury during the Single Leg Squat.” 2017. Thesis, University of Waterloo. Accessed October 20, 2019. http://hdl.handle.net/10012/11779.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kianifar, Rezvan. “Automated Pose Estimation for the Assessment of Dynamic Knee Valgus and Risk of Knee Injury during the Single Leg Squat.” 2017. Web. 20 Oct 2019.

Vancouver:

Kianifar R. Automated Pose Estimation for the Assessment of Dynamic Knee Valgus and Risk of Knee Injury during the Single Leg Squat. [Internet] [Thesis]. University of Waterloo; 2017. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10012/11779.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kianifar R. Automated Pose Estimation for the Assessment of Dynamic Knee Valgus and Risk of Knee Injury during the Single Leg Squat. [Thesis]. University of Waterloo; 2017. Available from: http://hdl.handle.net/10012/11779

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Kentucky

14. Xu, Wanxin. AFFECT-PRESERVING VISUAL PRIVACY PROTECTION.

Degree: 2018, University of Kentucky

 The prevalence of wireless networks and the convenience of mobile cameras enable many new video applications other than security and entertainment. From behavioral diagnosis to… (more)

Subjects/Keywords: Pose Estimation; Human Body Reshaping; 3D Face Reconstruction; Facial Expression Transfer; Visual Privacy Protection; Engineering; Social and Behavioral Sciences

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APA (6th Edition):

Xu, W. (2018). AFFECT-PRESERVING VISUAL PRIVACY PROTECTION. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/ece_etds/122

Chicago Manual of Style (16th Edition):

Xu, Wanxin. “AFFECT-PRESERVING VISUAL PRIVACY PROTECTION.” 2018. Doctoral Dissertation, University of Kentucky. Accessed October 20, 2019. https://uknowledge.uky.edu/ece_etds/122.

MLA Handbook (7th Edition):

Xu, Wanxin. “AFFECT-PRESERVING VISUAL PRIVACY PROTECTION.” 2018. Web. 20 Oct 2019.

Vancouver:

Xu W. AFFECT-PRESERVING VISUAL PRIVACY PROTECTION. [Internet] [Doctoral dissertation]. University of Kentucky; 2018. [cited 2019 Oct 20]. Available from: https://uknowledge.uky.edu/ece_etds/122.

Council of Science Editors:

Xu W. AFFECT-PRESERVING VISUAL PRIVACY PROTECTION. [Doctoral Dissertation]. University of Kentucky; 2018. Available from: https://uknowledge.uky.edu/ece_etds/122


RMIT University

15. Vu, H. Graph-based human pose estimation using neural networks.

Degree: 2019, RMIT University

 This thesis investigates the problem of human pose estimation (HPE) from unconstrained single two-dimensional (2D) images using Convolutional Neural Networks (CNNs). Recent approaches propose to… (more)

Subjects/Keywords: Fields of Research; human pose estimation; convolutional neural networks; graph structure; conditional random field; structured features

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vu, H. (2019). Graph-based human pose estimation using neural networks. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162746

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vu, H. “Graph-based human pose estimation using neural networks.” 2019. Thesis, RMIT University. Accessed October 20, 2019. http://researchbank.rmit.edu.au/view/rmit:162746.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vu, H. “Graph-based human pose estimation using neural networks.” 2019. Web. 20 Oct 2019.

Vancouver:

Vu H. Graph-based human pose estimation using neural networks. [Internet] [Thesis]. RMIT University; 2019. [cited 2019 Oct 20]. Available from: http://researchbank.rmit.edu.au/view/rmit:162746.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vu H. Graph-based human pose estimation using neural networks. [Thesis]. RMIT University; 2019. Available from: http://researchbank.rmit.edu.au/view/rmit:162746

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Linnaeus University

16. Jakub, Nilsson. Pose AR: Assessing Pose Based Input in an AR Context.

Degree: computer science and media technology (CM), 2019, Linnaeus University

  Despite the rapidly growing adoption of augmented reality (AR) applications, existing methods for interacting with AR content are rated poorly, with surveyors of the… (more)

Subjects/Keywords: Augmented Reality; Natural User Interfaces; Mobile AR; Pose Estimation; relative distance and orientation input; Human Computer Interaction; Människa-datorinteraktion (interaktionsdesign)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jakub, N. (2019). Pose AR: Assessing Pose Based Input in an AR Context. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-89228

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jakub, Nilsson. “Pose AR: Assessing Pose Based Input in an AR Context.” 2019. Thesis, Linnaeus University. Accessed October 20, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-89228.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jakub, Nilsson. “Pose AR: Assessing Pose Based Input in an AR Context.” 2019. Web. 20 Oct 2019.

Vancouver:

Jakub N. Pose AR: Assessing Pose Based Input in an AR Context. [Internet] [Thesis]. Linnaeus University; 2019. [cited 2019 Oct 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-89228.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jakub N. Pose AR: Assessing Pose Based Input in an AR Context. [Thesis]. Linnaeus University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-89228

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

17. Funes Mora, Kenneth Alberto. 3D Gaze Estimation from Remote RGB-D Sensors.

Degree: 2015, EPFL

 The development of systems able to retrieve and characterise the state of humans is important for many applications and fields of study. In particular, as… (more)

Subjects/Keywords: gaze estimation; head pose tracking; gaze coding; RGB-D sensors; 3D; generative models; human human interaction; human robot interaction; human computer interaction

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APA (6th Edition):

Funes Mora, K. A. (2015). 3D Gaze Estimation from Remote RGB-D Sensors. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/212716

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Funes Mora, Kenneth Alberto. “3D Gaze Estimation from Remote RGB-D Sensors.” 2015. Thesis, EPFL. Accessed October 20, 2019. http://infoscience.epfl.ch/record/212716.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Funes Mora, Kenneth Alberto. “3D Gaze Estimation from Remote RGB-D Sensors.” 2015. Web. 20 Oct 2019.

Vancouver:

Funes Mora KA. 3D Gaze Estimation from Remote RGB-D Sensors. [Internet] [Thesis]. EPFL; 2015. [cited 2019 Oct 20]. Available from: http://infoscience.epfl.ch/record/212716.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Funes Mora KA. 3D Gaze Estimation from Remote RGB-D Sensors. [Thesis]. EPFL; 2015. Available from: http://infoscience.epfl.ch/record/212716

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. Neverova, Natalia. Deep learning for human motion analysis : Apprentissage automatique de représentations profondes pour l’analyse du mouvement humain.

Degree: Docteur es, Informatique, 2016, Lyon

L'objectif de ce travail est de développer des méthodes avancées d'apprentissage pour l’analyse et l'interprétation automatique du mouvement humain à partir de sources d'information diverses,… (more)

Subjects/Keywords: Informatique; Intelligence artificielle; Reconnaissance de mouvement; Analyse du mouvement humain; Estimation de la posture; Apprentissage profond; Information Technology; Artificial intelligence; Movement recognition; Human motion analysis; Pose estimation; 006.307 2

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APA (6th Edition):

Neverova, N. (2016). Deep learning for human motion analysis : Apprentissage automatique de représentations profondes pour l’analyse du mouvement humain. (Doctoral Dissertation). Lyon. Retrieved from http://www.theses.fr/2016LYSEI029

Chicago Manual of Style (16th Edition):

Neverova, Natalia. “Deep learning for human motion analysis : Apprentissage automatique de représentations profondes pour l’analyse du mouvement humain.” 2016. Doctoral Dissertation, Lyon. Accessed October 20, 2019. http://www.theses.fr/2016LYSEI029.

MLA Handbook (7th Edition):

Neverova, Natalia. “Deep learning for human motion analysis : Apprentissage automatique de représentations profondes pour l’analyse du mouvement humain.” 2016. Web. 20 Oct 2019.

Vancouver:

Neverova N. Deep learning for human motion analysis : Apprentissage automatique de représentations profondes pour l’analyse du mouvement humain. [Internet] [Doctoral dissertation]. Lyon; 2016. [cited 2019 Oct 20]. Available from: http://www.theses.fr/2016LYSEI029.

Council of Science Editors:

Neverova N. Deep learning for human motion analysis : Apprentissage automatique de représentations profondes pour l’analyse du mouvement humain. [Doctoral Dissertation]. Lyon; 2016. Available from: http://www.theses.fr/2016LYSEI029


Indian Institute of Science

19. Anoop, K R. Dynamic Headpose Classification and Video Retargeting with Human Attention.

Degree: 2015, Indian Institute of Science

 Over the years, extensive research has been devoted to the study of people's head pose due to its relevance in security, human-computer interaction, advertising as… (more)

Subjects/Keywords: Headpose Classification; Video Retargeting; Human Gaze Information; Multiview Headpose Estimation; Domain Transfer Learning; Computer Vision; ARCO-Xboost; Covariance Profiles; Headpose Estimation; Head Pose Classification; Head-pose Classification; Canonical Correlation Analysis; Electrical Engineering

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APA (6th Edition):

Anoop, K. R. (2015). Dynamic Headpose Classification and Video Retargeting with Human Attention. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/2005/3824 ; http://etd.iisc.ernet.in/abstracts/4695/G26976-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Anoop, K R. “Dynamic Headpose Classification and Video Retargeting with Human Attention.” 2015. Thesis, Indian Institute of Science. Accessed October 20, 2019. http://etd.iisc.ernet.in/2005/3824 ; http://etd.iisc.ernet.in/abstracts/4695/G26976-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Anoop, K R. “Dynamic Headpose Classification and Video Retargeting with Human Attention.” 2015. Web. 20 Oct 2019.

Vancouver:

Anoop KR. Dynamic Headpose Classification and Video Retargeting with Human Attention. [Internet] [Thesis]. Indian Institute of Science; 2015. [cited 2019 Oct 20]. Available from: http://etd.iisc.ernet.in/2005/3824 ; http://etd.iisc.ernet.in/abstracts/4695/G26976-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Anoop KR. Dynamic Headpose Classification and Video Retargeting with Human Attention. [Thesis]. Indian Institute of Science; 2015. Available from: http://etd.iisc.ernet.in/2005/3824 ; http://etd.iisc.ernet.in/abstracts/4695/G26976-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universitat Politècnica de Catalunya

20. Simó Serra, Edgar. Understanding human-centric images : from geometry to fashion.

Degree: 2015, Universitat Politècnica de Catalunya

 Siempre ha sido una meta fundamental de la visión por computador la comprensión de los seres humanos. Los primeros trabajos se fijaron en objetivos sencillos… (more)

Subjects/Keywords: Human-centric imaging; Feature descriptors; Human pose estimation; Generative models; Semantic segmentation; Conditional random fields; Convolutional neural networks; Fashion; 004; 514; 68

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Simó Serra, E. (2015). Understanding human-centric images : from geometry to fashion. (Thesis). Universitat Politècnica de Catalunya. Retrieved from http://hdl.handle.net/10803/327030

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Simó Serra, Edgar. “Understanding human-centric images : from geometry to fashion.” 2015. Thesis, Universitat Politècnica de Catalunya. Accessed October 20, 2019. http://hdl.handle.net/10803/327030.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Simó Serra, Edgar. “Understanding human-centric images : from geometry to fashion.” 2015. Web. 20 Oct 2019.

Vancouver:

Simó Serra E. Understanding human-centric images : from geometry to fashion. [Internet] [Thesis]. Universitat Politècnica de Catalunya; 2015. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10803/327030.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Simó Serra E. Understanding human-centric images : from geometry to fashion. [Thesis]. Universitat Politècnica de Catalunya; 2015. Available from: http://hdl.handle.net/10803/327030

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. DONG JIAN. Towards Unified Object Analytics.

Degree: 2014, National University of Singapore

Subjects/Keywords: Visual Recognition; Object Classification; Object Detection; Semantic Segmentation; Human Parsing; Human Pose Estimation

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APA (6th Edition):

JIAN, D. (2014). Towards Unified Object Analytics. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/113320

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

JIAN, DONG. “Towards Unified Object Analytics.” 2014. Thesis, National University of Singapore. Accessed October 20, 2019. http://scholarbank.nus.edu.sg/handle/10635/113320.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

JIAN, DONG. “Towards Unified Object Analytics.” 2014. Web. 20 Oct 2019.

Vancouver:

JIAN D. Towards Unified Object Analytics. [Internet] [Thesis]. National University of Singapore; 2014. [cited 2019 Oct 20]. Available from: http://scholarbank.nus.edu.sg/handle/10635/113320.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

JIAN D. Towards Unified Object Analytics. [Thesis]. National University of Singapore; 2014. Available from: http://scholarbank.nus.edu.sg/handle/10635/113320

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Wright State University

22. Papadakis Ktistakis, Iosif. An Autonomous Intelligent Robotic Wheelchair to Assist People in Need: Standing-up, Turning-around and Sitting-down.

Degree: PhD, Computer Science and Engineering PhD, 2018, Wright State University

 The world’s ageing population has significantly increased over the last decades, which will result in one of the most significant transformations of the twenty-first century.… (more)

Subjects/Keywords: Computer Engineering; Computer Science; Mechanical Engineering; Robotics; Assistive Robotics; Wheelchairs; Human Machine Interaction; Speech Recognition; Pose Estimation; Active Participation; System Integration; Prototype; Robotic Arm; Decision Making

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Papadakis Ktistakis, I. (2018). An Autonomous Intelligent Robotic Wheelchair to Assist People in Need: Standing-up, Turning-around and Sitting-down. (Doctoral Dissertation). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1546469803313219

Chicago Manual of Style (16th Edition):

Papadakis Ktistakis, Iosif. “An Autonomous Intelligent Robotic Wheelchair to Assist People in Need: Standing-up, Turning-around and Sitting-down.” 2018. Doctoral Dissertation, Wright State University. Accessed October 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1546469803313219.

MLA Handbook (7th Edition):

Papadakis Ktistakis, Iosif. “An Autonomous Intelligent Robotic Wheelchair to Assist People in Need: Standing-up, Turning-around and Sitting-down.” 2018. Web. 20 Oct 2019.

Vancouver:

Papadakis Ktistakis I. An Autonomous Intelligent Robotic Wheelchair to Assist People in Need: Standing-up, Turning-around and Sitting-down. [Internet] [Doctoral dissertation]. Wright State University; 2018. [cited 2019 Oct 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1546469803313219.

Council of Science Editors:

Papadakis Ktistakis I. An Autonomous Intelligent Robotic Wheelchair to Assist People in Need: Standing-up, Turning-around and Sitting-down. [Doctoral Dissertation]. Wright State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1546469803313219


University of Washington

23. Ke, Shian-Ru. Recognition of Human Actions based on 3D Pose Estimation via Monocular Video Sequences.

Degree: PhD, 2014, University of Washington

 We propose a system to recognize both isolated and continuous human actions, from monocular video sequences, based on 3D human pose estimation and cyclic hidden… (more)

Subjects/Keywords: 3D Pose Estimation; Cyclic Hidden Markov Model; Geometrical Relational Features; Graphical Models; Human Action Recognition; Monocular Video Sequence; Electrical engineering; Computer science; electrical engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ke, S. (2014). Recognition of Human Actions based on 3D Pose Estimation via Monocular Video Sequences. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/26851

Chicago Manual of Style (16th Edition):

Ke, Shian-Ru. “Recognition of Human Actions based on 3D Pose Estimation via Monocular Video Sequences.” 2014. Doctoral Dissertation, University of Washington. Accessed October 20, 2019. http://hdl.handle.net/1773/26851.

MLA Handbook (7th Edition):

Ke, Shian-Ru. “Recognition of Human Actions based on 3D Pose Estimation via Monocular Video Sequences.” 2014. Web. 20 Oct 2019.

Vancouver:

Ke S. Recognition of Human Actions based on 3D Pose Estimation via Monocular Video Sequences. [Internet] [Doctoral dissertation]. University of Washington; 2014. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/1773/26851.

Council of Science Editors:

Ke S. Recognition of Human Actions based on 3D Pose Estimation via Monocular Video Sequences. [Doctoral Dissertation]. University of Washington; 2014. Available from: http://hdl.handle.net/1773/26851


University of Washington

24. Ke, Shian-Ru. Recognition of Human Actions based on 3D Pose Estimation via Monocular Video Sequences.

Degree: PhD, 2014, University of Washington

 We propose a system to recognize both isolated and continuous human actions, from monocular video sequences, based on 3D human pose estimation and cyclic hidden… (more)

Subjects/Keywords: 3D Pose Estimation; Cyclic Hidden Markov Model; Geometrical Relational Features; Graphical Models; Human Action Recognition; Monocular Video Sequence; Electrical engineering; Computer science; electrical engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ke, S. (2014). Recognition of Human Actions based on 3D Pose Estimation via Monocular Video Sequences. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/26889

Chicago Manual of Style (16th Edition):

Ke, Shian-Ru. “Recognition of Human Actions based on 3D Pose Estimation via Monocular Video Sequences.” 2014. Doctoral Dissertation, University of Washington. Accessed October 20, 2019. http://hdl.handle.net/1773/26889.

MLA Handbook (7th Edition):

Ke, Shian-Ru. “Recognition of Human Actions based on 3D Pose Estimation via Monocular Video Sequences.” 2014. Web. 20 Oct 2019.

Vancouver:

Ke S. Recognition of Human Actions based on 3D Pose Estimation via Monocular Video Sequences. [Internet] [Doctoral dissertation]. University of Washington; 2014. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/1773/26889.

Council of Science Editors:

Ke S. Recognition of Human Actions based on 3D Pose Estimation via Monocular Video Sequences. [Doctoral Dissertation]. University of Washington; 2014. Available from: http://hdl.handle.net/1773/26889


University of Washington

25. Tang, Zheng. Robust Video Object Tracking via Camera Self-calibration.

Degree: PhD, 2019, University of Washington

 In this dissertation, a framework for 3D scene reconstruction based on robust video object tracking assisted by camera self-calibration is proposed, which includes several algorithmic… (more)

Subjects/Keywords: camera self-calibration; human pose estimation; multiple object tracking; multi-view object tracking; radial distortion correction; scene reconstruction; Artificial intelligence; Computer engineering; Electrical engineering; Electrical engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tang, Z. (2019). Robust Video Object Tracking via Camera Self-calibration. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43951

Chicago Manual of Style (16th Edition):

Tang, Zheng. “Robust Video Object Tracking via Camera Self-calibration.” 2019. Doctoral Dissertation, University of Washington. Accessed October 20, 2019. http://hdl.handle.net/1773/43951.

MLA Handbook (7th Edition):

Tang, Zheng. “Robust Video Object Tracking via Camera Self-calibration.” 2019. Web. 20 Oct 2019.

Vancouver:

Tang Z. Robust Video Object Tracking via Camera Self-calibration. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/1773/43951.

Council of Science Editors:

Tang Z. Robust Video Object Tracking via Camera Self-calibration. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/43951

26. Fergie, Martin Paul. Discriminative Pose Estimation Using Mixtures of Gaussian Processes.

Degree: 2013, University of Manchester

This thesis proposes novel algorithms for using Gaussian processes for Discriminative pose estimation. We overcome the traditional limitations of Gaussian processes, their cubic training complexity… (more)

Subjects/Keywords: human pose estimation; computer vision; gaussian process; dynamical systems; mixture of experts

…techniques on human pose estimation data sets. e second contribution builds on the rst. We extend… …the related work on human pose estimation. We cover a wide variety of approaches from the… …We discuss how human pose is represented for pose estimation models. We cover the image… …We introduce a mixture of Gaussian processes model for discriminative human pose estimation… …these limitations to give state-of-the-art performance on discriminative human pose estimation… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fergie, M. P. (2013). Discriminative Pose Estimation Using Mixtures of Gaussian Processes. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:195169

Chicago Manual of Style (16th Edition):

Fergie, Martin Paul. “Discriminative Pose Estimation Using Mixtures of Gaussian Processes.” 2013. Doctoral Dissertation, University of Manchester. Accessed October 20, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:195169.

MLA Handbook (7th Edition):

Fergie, Martin Paul. “Discriminative Pose Estimation Using Mixtures of Gaussian Processes.” 2013. Web. 20 Oct 2019.

Vancouver:

Fergie MP. Discriminative Pose Estimation Using Mixtures of Gaussian Processes. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2019 Oct 20]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:195169.

Council of Science Editors:

Fergie MP. Discriminative Pose Estimation Using Mixtures of Gaussian Processes. [Doctoral Dissertation]. University of Manchester; 2013. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:195169

27. Sun, Min. 2D and 3D Mondels for Object and Scene Understanding.

Degree: PhD, Electrical Engineering: Systems, 2012, University of Michigan

 In this thesis, we propose novel 2D and 3D models for object and scene understanding from images. This is an extremely challenging problem in computer… (more)

Subjects/Keywords: Object Recongition; Scene Understanding; Human Pose Estimation; Computer Vision; Signal Processing; Electrical Engineering; Engineering

…2.2.1 Human Detection . . . . . . . . . . . . . . . 2.2.2 Human Pose Estimation… …2.2.3 Joint Human Detection and Pose Estimation 2.3 Scene Understanding… …6.4.5 Human Pose Estimation (HPE) . . . . . . . . 6.4.6 Other Application: Protein… …STRETCHED STRETCHED Figure 1.6: Panel (a) shows the ideal human pose estimation… …Branch-and-Bound (BB) algorithm to solve human pose estimation problem on loopy… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Sun, M. (2012). 2D and 3D Mondels for Object and Scene Understanding. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/95949

Chicago Manual of Style (16th Edition):

Sun, Min. “2D and 3D Mondels for Object and Scene Understanding.” 2012. Doctoral Dissertation, University of Michigan. Accessed October 20, 2019. http://hdl.handle.net/2027.42/95949.

MLA Handbook (7th Edition):

Sun, Min. “2D and 3D Mondels for Object and Scene Understanding.” 2012. Web. 20 Oct 2019.

Vancouver:

Sun M. 2D and 3D Mondels for Object and Scene Understanding. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/2027.42/95949.

Council of Science Editors:

Sun M. 2D and 3D Mondels for Object and Scene Understanding. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/95949

28. Zhu, Youding. Model-Based Human Pose Estimation with Spatio-Temporal Inferencing.

Degree: PhD, Computer Science and Engineering, 2009, The Ohio State University

 This thesis presents a computational framework for human poseestimation from depth video sequences. The framework has a potentialto achieve interesting applications such as robot motionretargeting,… (more)

Subjects/Keywords: Computer Science; human pose estimation; depth image analysis for robust body part detection labeling and tracking; spatio-temporal inferencing

…Constrained Optimization for Human Pose Estimation from Depth Sequences”. Asian Conference on… …An Application of Real-Time Human Pose Estimation . . . . . . . Challenges: Markerless… …Human Motion Capture from Image Streams Motivation: Interactive Human Pose Estimation from… …Optimization for Human Pose Estimation from Depth Sequences… …Human Pose Estimation: a Unified Approach . . . . . . . . 108 6.1 6.2 6.3 6.4 6.5 6.6 6.7 7… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhu, Y. (2009). Model-Based Human Pose Estimation with Spatio-Temporal Inferencing. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1242752509

Chicago Manual of Style (16th Edition):

Zhu, Youding. “Model-Based Human Pose Estimation with Spatio-Temporal Inferencing.” 2009. Doctoral Dissertation, The Ohio State University. Accessed October 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1242752509.

MLA Handbook (7th Edition):

Zhu, Youding. “Model-Based Human Pose Estimation with Spatio-Temporal Inferencing.” 2009. Web. 20 Oct 2019.

Vancouver:

Zhu Y. Model-Based Human Pose Estimation with Spatio-Temporal Inferencing. [Internet] [Doctoral dissertation]. The Ohio State University; 2009. [cited 2019 Oct 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1242752509.

Council of Science Editors:

Zhu Y. Model-Based Human Pose Estimation with Spatio-Temporal Inferencing. [Doctoral Dissertation]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1242752509

29. Maheshwari, Varun Chandra 1985-. Quantitative comparison of metrics for human pose estimation.

Degree: Computer Science, Department of, 2013, University of Houston

Human Pose Estimation is an important problem in computer vision that has received considerable attention in recent years. The multitude of application's related to Visual… (more)

Subjects/Keywords: Computer vision; Pose estimation; Human detection; SIFT; GIST; Histogram; SVM; Decision Trees; Random Forest; PASCAL VOC; Computer science

…and legs . . . . . . 40 xi Chapter 1 Introduction Pose estimation of humans from images… …reasonable results [10]. Most of the systems proposed for pose estimation generate a 3D… …model of the human from 2D images. Input for pose estimators is a sub image containing a human… …right pose input for pose estimation. In this thesis, we evaluate different local image… …pose. 2 1.1 Previous Work and Motivation Much research work done for pose estimation has… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Maheshwari, V. C. 1. (2013). Quantitative comparison of metrics for human pose estimation. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/481

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Maheshwari, Varun Chandra 1985-. “Quantitative comparison of metrics for human pose estimation.” 2013. Thesis, University of Houston. Accessed October 20, 2019. http://hdl.handle.net/10657/481.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Maheshwari, Varun Chandra 1985-. “Quantitative comparison of metrics for human pose estimation.” 2013. Web. 20 Oct 2019.

Vancouver:

Maheshwari VC1. Quantitative comparison of metrics for human pose estimation. [Internet] [Thesis]. University of Houston; 2013. [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10657/481.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Maheshwari VC1. Quantitative comparison of metrics for human pose estimation. [Thesis]. University of Houston; 2013. Available from: http://hdl.handle.net/10657/481

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. 西澤, 博大. 姿勢推定を援用した実人物モデルの描画学習支援システム.

Degree: Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学

Supervisor:宮田 一乘

先端科学技術研究科

修士(情報科学)

Subjects/Keywords: 描画学習支援; Drawing-learning support; 姿勢推定; Pose estimation; 実人物モデル; Actual Human Body Model; 骨格評価; Evaluation focused on the skeleton

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

西澤, . (n.d.). 姿勢推定を援用した実人物モデルの描画学習支援システム. (Thesis). Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10119/15193

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

西澤, 博大. “姿勢推定を援用した実人物モデルの描画学習支援システム.” Thesis, Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Accessed October 20, 2019. http://hdl.handle.net/10119/15193.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

西澤, 博大. “姿勢推定を援用した実人物モデルの描画学習支援システム.” Web. 20 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

西澤 . 姿勢推定を援用した実人物モデルの描画学習支援システム. [Internet] [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; [cited 2019 Oct 20]. Available from: http://hdl.handle.net/10119/15193.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

西澤 . 姿勢推定を援用した実人物モデルの描画学習支援システム. [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; Available from: http://hdl.handle.net/10119/15193

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

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