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You searched for +publisher:"University of Southern California" +contributor:("Medioni, Gerard G."). Showing records 1 – 24 of 24 total matches.

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University of Southern California

1. Kuo, Cheng-Hao. Multiple pedestrians tracking by discriminative models.

Degree: PhD, Electrical Engineering, 2011, University of Southern California

 We present our work on multiple pedestrians tracking in a single camera and across multiple non-overlapping cameras. We propose an approach for online learning of… (more)

Subjects/Keywords: adaboost; association-based tracking; detection-based tracking; discriminative models; multiple instance learning; mutli-target tracking

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APA (6th Edition):

Kuo, C. (2011). Multiple pedestrians tracking by discriminative models. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/671069/rec/4282

Chicago Manual of Style (16th Edition):

Kuo, Cheng-Hao. “Multiple pedestrians tracking by discriminative models.” 2011. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/671069/rec/4282.

MLA Handbook (7th Edition):

Kuo, Cheng-Hao. “Multiple pedestrians tracking by discriminative models.” 2011. Web. 03 Apr 2020.

Vancouver:

Kuo C. Multiple pedestrians tracking by discriminative models. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/671069/rec/4282.

Council of Science Editors:

Kuo C. Multiple pedestrians tracking by discriminative models. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/671069/rec/4282


University of Southern California

2. Gong, Dian. Structure learning for manifolds and multivariate time series.

Degree: PhD, Electrical Engineering, 2014, University of Southern California

 This dissertation investigates a fundamental issue in machine learning and computer vision: unsupervised structure learning of high dimensional data from manifolds and multivariate time series,… (more)

Subjects/Keywords: machine learning; structure learning; multivariate time series; change point detection; temporal alignment; probabilistic tensor voting; manifold learning; kernel methods; nonparametric models; clustering; human motion analysis; human action recognition

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APA (6th Edition):

Gong, D. (2014). Structure learning for manifolds and multivariate time series. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/313397/rec/6135

Chicago Manual of Style (16th Edition):

Gong, Dian. “Structure learning for manifolds and multivariate time series.” 2014. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/313397/rec/6135.

MLA Handbook (7th Edition):

Gong, Dian. “Structure learning for manifolds and multivariate time series.” 2014. Web. 03 Apr 2020.

Vancouver:

Gong D. Structure learning for manifolds and multivariate time series. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/313397/rec/6135.

Council of Science Editors:

Gong D. Structure learning for manifolds and multivariate time series. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/313397/rec/6135


University of Southern California

3. Polunchenko, Aleksey S. Quickest change detection with applications to distributed multi-sensor systems.

Degree: PhD, Applied Mathematics, 2011, University of Southern California

 This dissertation is a study of the problem of sequential optimal quickest change-point detection. This problem is addressed in a variety of interrelated contexts, each,… (more)

Subjects/Keywords: sequential analysis; change-point detection; CUSUM; sequential analysis; Shiryaev-Roberts; network security; intrusion detection

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APA (6th Edition):

Polunchenko, A. S. (2011). Quickest change detection with applications to distributed multi-sensor systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/239174/rec/5378

Chicago Manual of Style (16th Edition):

Polunchenko, Aleksey S. “Quickest change detection with applications to distributed multi-sensor systems.” 2011. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/239174/rec/5378.

MLA Handbook (7th Edition):

Polunchenko, Aleksey S. “Quickest change detection with applications to distributed multi-sensor systems.” 2011. Web. 03 Apr 2020.

Vancouver:

Polunchenko AS. Quickest change detection with applications to distributed multi-sensor systems. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/239174/rec/5378.

Council of Science Editors:

Polunchenko AS. Quickest change detection with applications to distributed multi-sensor systems. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/239174/rec/5378


University of Southern California

4. Ra, Moo-Ryong. Cloud-enabled mobile sensing systems.

Degree: PhD, Computer Science, 2013, University of Southern California

 Smart mobile devices have increasingly become the computing platform of choice. As distinct features, they have sensors and many useful applications based on the sensors… (more)

Subjects/Keywords: mobile cloud computing; mobile systems

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APA (6th Edition):

Ra, M. (2013). Cloud-enabled mobile sensing systems. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/303424/rec/1400

Chicago Manual of Style (16th Edition):

Ra, Moo-Ryong. “Cloud-enabled mobile sensing systems.” 2013. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/303424/rec/1400.

MLA Handbook (7th Edition):

Ra, Moo-Ryong. “Cloud-enabled mobile sensing systems.” 2013. Web. 03 Apr 2020.

Vancouver:

Ra M. Cloud-enabled mobile sensing systems. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/303424/rec/1400.

Council of Science Editors:

Ra M. Cloud-enabled mobile sensing systems. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/303424/rec/1400


University of Southern California

5. Khan, Furqan Muhammad. Analyzing human activities in videos using component based models.

Degree: PhD, Computer Science, 2013, University of Southern California

 With cameras getting smaller, better and cheaper, the amount of videos produced these days has increased exponentially. Although not comprehensive by any means, the fact… (more)

Subjects/Keywords: computer vision; human activity analysis; machine learning; artificial intelligence; surveillance systems; graphical networks for action analysis

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APA (6th Edition):

Khan, F. M. (2013). Analyzing human activities in videos using component based models. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/300165/rec/823

Chicago Manual of Style (16th Edition):

Khan, Furqan Muhammad. “Analyzing human activities in videos using component based models.” 2013. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/300165/rec/823.

MLA Handbook (7th Edition):

Khan, Furqan Muhammad. “Analyzing human activities in videos using component based models.” 2013. Web. 03 Apr 2020.

Vancouver:

Khan FM. Analyzing human activities in videos using component based models. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/300165/rec/823.

Council of Science Editors:

Khan FM. Analyzing human activities in videos using component based models. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/300165/rec/823


University of Southern California

6. Constantinou, Giorgos. GeoCrowd: a spatial crowdsourcing system implementation.

Degree: MS, Computer Science, 2014, University of Southern California

 The increasing usage of smartphones, along with the ubiquitous internet access, brought to the research and market community a new type of crowdsourcing: spatial crowdsourcing.… (more)

Subjects/Keywords: crowdsourcing; mobile multimedia; spatial crowdsourcing; spatial task assignment

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APA (6th Edition):

Constantinou, G. (2014). GeoCrowd: a spatial crowdsourcing system implementation. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/405541/rec/3029

Chicago Manual of Style (16th Edition):

Constantinou, Giorgos. “GeoCrowd: a spatial crowdsourcing system implementation.” 2014. Masters Thesis, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/405541/rec/3029.

MLA Handbook (7th Edition):

Constantinou, Giorgos. “GeoCrowd: a spatial crowdsourcing system implementation.” 2014. Web. 03 Apr 2020.

Vancouver:

Constantinou G. GeoCrowd: a spatial crowdsourcing system implementation. [Internet] [Masters thesis]. University of Southern California; 2014. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/405541/rec/3029.

Council of Science Editors:

Constantinou G. GeoCrowd: a spatial crowdsourcing system implementation. [Masters Thesis]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/405541/rec/3029


University of Southern California

7. Lammert, Adam C. Structure and function in speech production.

Degree: PhD, Computer Science, 2014, University of Southern California

 The mechanisms underlying speech production are some of the most crucial that humans posses, because the ability to produce and perceive speech forms much of… (more)

Subjects/Keywords: speech production; motor control; physical acoustics; statistical machine learning

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APA (6th Edition):

Lammert, A. C. (2014). Structure and function in speech production. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/422765/rec/6132

Chicago Manual of Style (16th Edition):

Lammert, Adam C. “Structure and function in speech production.” 2014. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/422765/rec/6132.

MLA Handbook (7th Edition):

Lammert, Adam C. “Structure and function in speech production.” 2014. Web. 03 Apr 2020.

Vancouver:

Lammert AC. Structure and function in speech production. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/422765/rec/6132.

Council of Science Editors:

Lammert AC. Structure and function in speech production. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/422765/rec/6132


University of Southern California

8. Yang, Bo. Multiple humnas tracking by learning appearance and motion patterns.

Degree: PhD, Computer Science, 2012, University of Southern California

 Tracking multiple humans in real scenes is an important problem in computer vision due to its importance for many applications, such as surveillance, robotics, and… (more)

Subjects/Keywords: multi-target tracking; appearance and motion patterns

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APA (6th Edition):

Yang, B. (2012). Multiple humnas tracking by learning appearance and motion patterns. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/77404/rec/4278

Chicago Manual of Style (16th Edition):

Yang, Bo. “Multiple humnas tracking by learning appearance and motion patterns.” 2012. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/77404/rec/4278.

MLA Handbook (7th Edition):

Yang, Bo. “Multiple humnas tracking by learning appearance and motion patterns.” 2012. Web. 03 Apr 2020.

Vancouver:

Yang B. Multiple humnas tracking by learning appearance and motion patterns. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/77404/rec/4278.

Council of Science Editors:

Yang B. Multiple humnas tracking by learning appearance and motion patterns. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/77404/rec/4278


University of Southern California

9. Sharma, Pramod Kumar. Effective incremental learning and detector adaptation methods for video object detection.

Degree: PhD, Computer Science, 2014, University of Southern California

 Object detection is a challenging problem in Computer Vision. With increasing use of social media, smart phones and modern digital cameras thousands of videos are… (more)

Subjects/Keywords: object detection; human detection; adaptation; incremental learning; multiple instance learning; unsupervised; online; video; surveillance

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APA (6th Edition):

Sharma, P. K. (2014). Effective incremental learning and detector adaptation methods for video object detection. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/489008/rec/2189

Chicago Manual of Style (16th Edition):

Sharma, Pramod Kumar. “Effective incremental learning and detector adaptation methods for video object detection.” 2014. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/489008/rec/2189.

MLA Handbook (7th Edition):

Sharma, Pramod Kumar. “Effective incremental learning and detector adaptation methods for video object detection.” 2014. Web. 03 Apr 2020.

Vancouver:

Sharma PK. Effective incremental learning and detector adaptation methods for video object detection. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/489008/rec/2189.

Council of Science Editors:

Sharma PK. Effective incremental learning and detector adaptation methods for video object detection. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/489008/rec/2189


University of Southern California

10. Singh, Vivek Kumar. Monocular human pose tracking and action recognition in dynamic environments.

Degree: PhD, Computer Science, 2011, University of Southern California

 The objective of this work is to develop an efficient method to find human in videos captured from a single camera, and recognize the action… (more)

Subjects/Keywords: pictorial structures; branch and bound; conditional random fields; particle filtering

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APA (6th Edition):

Singh, V. K. (2011). Monocular human pose tracking and action recognition in dynamic environments. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4216

Chicago Manual of Style (16th Edition):

Singh, Vivek Kumar. “Monocular human pose tracking and action recognition in dynamic environments.” 2011. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4216.

MLA Handbook (7th Edition):

Singh, Vivek Kumar. “Monocular human pose tracking and action recognition in dynamic environments.” 2011. Web. 03 Apr 2020.

Vancouver:

Singh VK. Monocular human pose tracking and action recognition in dynamic environments. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4216.

Council of Science Editors:

Singh VK. Monocular human pose tracking and action recognition in dynamic environments. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/175429/rec/4216


University of Southern California

11. Banerjee, Prithviraj. Incorporating aggregate feature statistics in structured dynamical models for human activity recognition.

Degree: PhD, Computer Science, 2014, University of Southern California

 Human action recognition in videos is a central problem of computer vision, with numerous applications in the fields of video surveillance, data mining and human… (more)

Subjects/Keywords: computer vision; machine learning; human activity recognition; activity detection; graphical models

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APA (6th Edition):

Banerjee, P. (2014). Incorporating aggregate feature statistics in structured dynamical models for human activity recognition. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/483796/rec/3444

Chicago Manual of Style (16th Edition):

Banerjee, Prithviraj. “Incorporating aggregate feature statistics in structured dynamical models for human activity recognition.” 2014. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/483796/rec/3444.

MLA Handbook (7th Edition):

Banerjee, Prithviraj. “Incorporating aggregate feature statistics in structured dynamical models for human activity recognition.” 2014. Web. 03 Apr 2020.

Vancouver:

Banerjee P. Incorporating aggregate feature statistics in structured dynamical models for human activity recognition. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/483796/rec/3444.

Council of Science Editors:

Banerjee P. Incorporating aggregate feature statistics in structured dynamical models for human activity recognition. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/483796/rec/3444


University of Southern California

12. Pradeep, Vivek. Robot vision for the visually impaired.

Degree: PhD, Biomedical Engineering, 2012, University of Southern California

 Vision is one of the primary sensory modalities for humans that assists in performing several life-sustaining and life-enhancing tasks, including the execution of actions such… (more)

Subjects/Keywords: simultaneous localization and mapping; SLAM; stereo; structure from motion; tracking; visual prosthetics; visually impaired; mobility aid; obstacle avoidance; path planning

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APA (6th Edition):

Pradeep, V. (2012). Robot vision for the visually impaired. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/435695/rec/5613

Chicago Manual of Style (16th Edition):

Pradeep, Vivek. “Robot vision for the visually impaired.” 2012. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/435695/rec/5613.

MLA Handbook (7th Edition):

Pradeep, Vivek. “Robot vision for the visually impaired.” 2012. Web. 03 Apr 2020.

Vancouver:

Pradeep V. Robot vision for the visually impaired. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/435695/rec/5613.

Council of Science Editors:

Pradeep V. Robot vision for the visually impaired. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/435695/rec/5613


University of Southern California

13. Sokolov, Grigory. Multi-population optimal change-point detection.

Degree: PhD, Applied Mathematics, 2014, University of Southern California

 The main aim of this work is to generalize the classical single‐population sequential change‐point detection to a more general multi‐population case, and design procedures that… (more)

Subjects/Keywords: change‐point detection; sequential analysis; multi‐sensor networks; probability; statistics

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APA (6th Edition):

Sokolov, G. (2014). Multi-population optimal change-point detection. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/417276/rec/4255

Chicago Manual of Style (16th Edition):

Sokolov, Grigory. “Multi-population optimal change-point detection.” 2014. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/417276/rec/4255.

MLA Handbook (7th Edition):

Sokolov, Grigory. “Multi-population optimal change-point detection.” 2014. Web. 03 Apr 2020.

Vancouver:

Sokolov G. Multi-population optimal change-point detection. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/417276/rec/4255.

Council of Science Editors:

Sokolov G. Multi-population optimal change-point detection. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/417276/rec/4255


University of Southern California

14. Nanduri, Devyani. Prosthetic vision in blind human patients: Predicting the percepts of epiretinal stimulation.

Degree: PhD, Biomedical Engineering, 2012, University of Southern California

 Over the last 8 years it has been shown that an implantable retinal prosthesis can partially restore visual capabilities to blind humans. With current electrode… (more)

Subjects/Keywords: artificial vision; neural prostheses; retinal prosthesis; form vision; retintis pigmentosa; psychophysics

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APA (6th Edition):

Nanduri, D. (2012). Prosthetic vision in blind human patients: Predicting the percepts of epiretinal stimulation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/196626/rec/5294

Chicago Manual of Style (16th Edition):

Nanduri, Devyani. “Prosthetic vision in blind human patients: Predicting the percepts of epiretinal stimulation.” 2012. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/196626/rec/5294.

MLA Handbook (7th Edition):

Nanduri, Devyani. “Prosthetic vision in blind human patients: Predicting the percepts of epiretinal stimulation.” 2012. Web. 03 Apr 2020.

Vancouver:

Nanduri D. Prosthetic vision in blind human patients: Predicting the percepts of epiretinal stimulation. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/196626/rec/5294.

Council of Science Editors:

Nanduri D. Prosthetic vision in blind human patients: Predicting the percepts of epiretinal stimulation. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/196626/rec/5294


University of Southern California

15. Huang, Lixing. Parasocial consensus sampling: modeling human nonverbal behaviors from multiple perspectives.

Degree: PhD, Computer Science, 2013, University of Southern California

 Virtual humans are embodied software agents designed to simulate the appearance and social behaviors of humans, typically with the goal of facilitating natural interactions between… (more)

Subjects/Keywords: virtual human; nonverbal behaviors; parasocial interaction; crowdsourcing

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APA (6th Edition):

Huang, L. (2013). Parasocial consensus sampling: modeling human nonverbal behaviors from multiple perspectives. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/233719/rec/4921

Chicago Manual of Style (16th Edition):

Huang, Lixing. “Parasocial consensus sampling: modeling human nonverbal behaviors from multiple perspectives.” 2013. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/233719/rec/4921.

MLA Handbook (7th Edition):

Huang, Lixing. “Parasocial consensus sampling: modeling human nonverbal behaviors from multiple perspectives.” 2013. Web. 03 Apr 2020.

Vancouver:

Huang L. Parasocial consensus sampling: modeling human nonverbal behaviors from multiple perspectives. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/233719/rec/4921.

Council of Science Editors:

Huang L. Parasocial consensus sampling: modeling human nonverbal behaviors from multiple perspectives. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/233719/rec/4921


University of Southern California

16. Nanduri, Devyani. Prosthetic vision in blind human patients: predicting the percepts of epiretinal stimulation.

Degree: PhD, Biomedical Engineering, 2012, University of Southern California

 Over the last 8 years it has been shown that an implantable retinal prosthesis can partially restore visual capabilities to blind humans. With current electrode… (more)

Subjects/Keywords: artificial vision; neural prostheses; retinal prosthesis; form vision; retintis pigmentosa; psychophysics

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APA (6th Edition):

Nanduri, D. (2012). Prosthetic vision in blind human patients: predicting the percepts of epiretinal stimulation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/214215/rec/5295

Chicago Manual of Style (16th Edition):

Nanduri, Devyani. “Prosthetic vision in blind human patients: predicting the percepts of epiretinal stimulation.” 2012. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/214215/rec/5295.

MLA Handbook (7th Edition):

Nanduri, Devyani. “Prosthetic vision in blind human patients: predicting the percepts of epiretinal stimulation.” 2012. Web. 03 Apr 2020.

Vancouver:

Nanduri D. Prosthetic vision in blind human patients: predicting the percepts of epiretinal stimulation. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/214215/rec/5295.

Council of Science Editors:

Nanduri D. Prosthetic vision in blind human patients: predicting the percepts of epiretinal stimulation. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/214215/rec/5295


University of Southern California

17. Ozkan, Derya. Towards social virtual listeners: computational models of human nonverbal behaviors.

Degree: PhD, Computer Science, 2014, University of Southern California

 Human nonverbal communication is a highly interactive process, in which the participants dynamically send and respond to nonverbal signals. These signals play a significant role… (more)

Subjects/Keywords: artificial intelligence; machine learning; multimodal processing; virtual agents

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

APA (6th Edition):

Ozkan, D. (2014). Towards social virtual listeners: computational models of human nonverbal behaviors. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/367964/rec/7543

Chicago Manual of Style (16th Edition):

Ozkan, Derya. “Towards social virtual listeners: computational models of human nonverbal behaviors.” 2014. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/367964/rec/7543.

MLA Handbook (7th Edition):

Ozkan, Derya. “Towards social virtual listeners: computational models of human nonverbal behaviors.” 2014. Web. 03 Apr 2020.

Vancouver:

Ozkan D. Towards social virtual listeners: computational models of human nonverbal behaviors. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/367964/rec/7543.

Council of Science Editors:

Ozkan D. Towards social virtual listeners: computational models of human nonverbal behaviors. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/367964/rec/7543


University of Southern California

18. Mo, Zhenyao. Gesture interface engine.

Degree: PhD, Computer Science, 2007, University of Southern California

 Gesture interfaces have long been pursued in the context of portable computing and immersive environments. However, such interfaces have been difficult to realize, in part… (more)

Subjects/Keywords: gesture interface; human computer interaction; gesture recognition; interface engine

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

APA (6th Edition):

Mo, Z. (2007). Gesture interface engine. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/591887/rec/3045

Chicago Manual of Style (16th Edition):

Mo, Zhenyao. “Gesture interface engine.” 2007. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/591887/rec/3045.

MLA Handbook (7th Edition):

Mo, Zhenyao. “Gesture interface engine.” 2007. Web. 03 Apr 2020.

Vancouver:

Mo Z. Gesture interface engine. [Internet] [Doctoral dissertation]. University of Southern California; 2007. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/591887/rec/3045.

Council of Science Editors:

Mo Z. Gesture interface engine. [Doctoral Dissertation]. University of Southern California; 2007. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/591887/rec/3045


University of Southern California

19. Wu, Bo. Part based object detection, segmentation, and tracking by boosting simple shape feature based weak classifiers.

Degree: PhD, Computer Science, 2008, University of Southern California

 Detection, segmentation, and tracking of objects of a known class is a fundamental problem in computer vision. For this task, we need to first detect… (more)

Subjects/Keywords: object detection and tracking; AdaBoost

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APA (6th Edition):

Wu, B. (2008). Part based object detection, segmentation, and tracking by boosting simple shape feature based weak classifiers. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/75931/rec/4932

Chicago Manual of Style (16th Edition):

Wu, Bo. “Part based object detection, segmentation, and tracking by boosting simple shape feature based weak classifiers.” 2008. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/75931/rec/4932.

MLA Handbook (7th Edition):

Wu, Bo. “Part based object detection, segmentation, and tracking by boosting simple shape feature based weak classifiers.” 2008. Web. 03 Apr 2020.

Vancouver:

Wu B. Part based object detection, segmentation, and tracking by boosting simple shape feature based weak classifiers. [Internet] [Doctoral dissertation]. University of Southern California; 2008. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/75931/rec/4932.

Council of Science Editors:

Wu B. Part based object detection, segmentation, and tracking by boosting simple shape feature based weak classifiers. [Doctoral Dissertation]. University of Southern California; 2008. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/75931/rec/4932


University of Southern California

20. Lv, Fengjun. Model based view-invariant human action recognition and segmentation.

Degree: PhD, Computer Science, 2007, University of Southern California

 Recognizing basic human actions such as walking, sitting down and waving hands from a single video is an important task for many applications in video… (more)

Subjects/Keywords: action recognition; human motion analysis

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APA (6th Edition):

Lv, F. (2007). Model based view-invariant human action recognition and segmentation. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/480328/rec/4113

Chicago Manual of Style (16th Edition):

Lv, Fengjun. “Model based view-invariant human action recognition and segmentation.” 2007. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/480328/rec/4113.

MLA Handbook (7th Edition):

Lv, Fengjun. “Model based view-invariant human action recognition and segmentation.” 2007. Web. 03 Apr 2020.

Vancouver:

Lv F. Model based view-invariant human action recognition and segmentation. [Internet] [Doctoral dissertation]. University of Southern California; 2007. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/480328/rec/4113.

Council of Science Editors:

Lv F. Model based view-invariant human action recognition and segmentation. [Doctoral Dissertation]. University of Southern California; 2007. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/480328/rec/4113


University of Southern California

21. Chu, Chi-Wei. Body pose estimation and gesture recognition for human-computer interaction system.

Degree: PhD, Computer Science, 2008, University of Southern California

 In this thesis we present an approached for a visual communication application for a dark, theater-like interactive virtual simulation training environment. Our system visually estimates… (more)

Subjects/Keywords: computer vision; ICP; HCI; body tracking

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

APA (6th Edition):

Chu, C. (2008). Body pose estimation and gesture recognition for human-computer interaction system. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/107307/rec/1150

Chicago Manual of Style (16th Edition):

Chu, Chi-Wei. “Body pose estimation and gesture recognition for human-computer interaction system.” 2008. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/107307/rec/1150.

MLA Handbook (7th Edition):

Chu, Chi-Wei. “Body pose estimation and gesture recognition for human-computer interaction system.” 2008. Web. 03 Apr 2020.

Vancouver:

Chu C. Body pose estimation and gesture recognition for human-computer interaction system. [Internet] [Doctoral dissertation]. University of Southern California; 2008. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/107307/rec/1150.

Council of Science Editors:

Chu C. Body pose estimation and gesture recognition for human-computer interaction system. [Doctoral Dissertation]. University of Southern California; 2008. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/107307/rec/1150


University of Southern California

22. Natarajan, Pradeep. Robust representation and recognition of actions in video.

Degree: PhD, Computer Science, 2009, University of Southern California

 Recognizing actions from video and other sensory data is important for a number of applications such as surveillance and human-computer interaction. While the potential applications… (more)

Subjects/Keywords: computer vision; action recognition; hidden Markov models; conditional random fields

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

APA (6th Edition):

Natarajan, P. (2009). Robust representation and recognition of actions in video. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/562446/rec/5622

Chicago Manual of Style (16th Edition):

Natarajan, Pradeep. “Robust representation and recognition of actions in video.” 2009. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/562446/rec/5622.

MLA Handbook (7th Edition):

Natarajan, Pradeep. “Robust representation and recognition of actions in video.” 2009. Web. 03 Apr 2020.

Vancouver:

Natarajan P. Robust representation and recognition of actions in video. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/562446/rec/5622.

Council of Science Editors:

Natarajan P. Robust representation and recognition of actions in video. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/562446/rec/5622


University of Southern California

23. Song, Xuefeng. Multiple vehicle segmentation and tracking in complex environments.

Degree: PhD, Computer Science, University of Southern California

 Our goal is to detect and to track multiple moving vehicles observed from static surveillance cameras, which are usually placed on poles or buildings. Methods… (more)

Subjects/Keywords: computer vision; pattern recognition; vehicle tracking

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APA (6th Edition):

Song, X. (n.d.). Multiple vehicle segmentation and tracking in complex environments. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/322986/rec/4284

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

Chicago Manual of Style (16th Edition):

Song, Xuefeng. “Multiple vehicle segmentation and tracking in complex environments.” Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/322986/rec/4284.

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

MLA Handbook (7th Edition):

Song, Xuefeng. “Multiple vehicle segmentation and tracking in complex environments.” Web. 03 Apr 2020.

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

Vancouver:

Song X. Multiple vehicle segmentation and tracking in complex environments. [Internet] [Doctoral dissertation]. University of Southern California; [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/322986/rec/4284.

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

Council of Science Editors:

Song X. Multiple vehicle segmentation and tracking in complex environments. [Doctoral Dissertation]. University of Southern California; Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/322986/rec/4284

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


University of Southern California

24. Wang, Lu. Line segment matching and its applications in 3D urban modeling.

Degree: PhD, Computer Science, 2010, University of Southern California

 Man-made environments are full of line segments, and a complex curve can be approximated with multiple straight-line segments. Therefore, line segment matching is an important… (more)

Subjects/Keywords: image matching; image registration; 3D modeling; urban modeling; wide-baseline

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

APA (6th Edition):

Wang, L. (2010). Line segment matching and its applications in 3D urban modeling. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/287762/rec/3832

Chicago Manual of Style (16th Edition):

Wang, Lu. “Line segment matching and its applications in 3D urban modeling.” 2010. Doctoral Dissertation, University of Southern California. Accessed April 03, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/287762/rec/3832.

MLA Handbook (7th Edition):

Wang, Lu. “Line segment matching and its applications in 3D urban modeling.” 2010. Web. 03 Apr 2020.

Vancouver:

Wang L. Line segment matching and its applications in 3D urban modeling. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Apr 03]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/287762/rec/3832.

Council of Science Editors:

Wang L. Line segment matching and its applications in 3D urban modeling. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/287762/rec/3832

.