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You searched for +publisher:"University of Victoria" +contributor:("Branzan Albu, Alexandra"). Showing records 1 – 15 of 15 total matches.

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1. Cabrera Vargas, Dany Alejandro. Wall extraction and room detection for multi-unit architectural floor plans.

Degree: Department of Computer Science, 2018, University of Victoria

 In the context of urban buildings, architectural floor plans describe a building's structure and spatial distribution. These digital documents are usually shared in file formats… (more)

Subjects/Keywords: architectural floor plans; wall extraction; room detection; vectorization

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APA (6th Edition):

Cabrera Vargas, D. A. (2018). Wall extraction and room detection for multi-unit architectural floor plans. (Masters Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/10111

Chicago Manual of Style (16th Edition):

Cabrera Vargas, Dany Alejandro. “Wall extraction and room detection for multi-unit architectural floor plans.” 2018. Masters Thesis, University of Victoria. Accessed October 30, 2020. https://dspace.library.uvic.ca//handle/1828/10111.

MLA Handbook (7th Edition):

Cabrera Vargas, Dany Alejandro. “Wall extraction and room detection for multi-unit architectural floor plans.” 2018. Web. 30 Oct 2020.

Vancouver:

Cabrera Vargas DA. Wall extraction and room detection for multi-unit architectural floor plans. [Internet] [Masters thesis]. University of Victoria; 2018. [cited 2020 Oct 30]. Available from: https://dspace.library.uvic.ca//handle/1828/10111.

Council of Science Editors:

Cabrera Vargas DA. Wall extraction and room detection for multi-unit architectural floor plans. [Masters Thesis]. University of Victoria; 2018. Available from: https://dspace.library.uvic.ca//handle/1828/10111

2. Quevillon, Joey. Video motion detection and tracking for surveillance applications.

Degree: Dept. of Electrical and Computer Engineering, 2012, University of Victoria

 These days, video surveillance is an important security asset to control theft, trespassing or traffic monitoring for any physical systems, whether personal or commercial. Implementing… (more)

Subjects/Keywords: PTZ; surveillance; visual; tracking; pedestrian

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APA (6th Edition):

Quevillon, J. (2012). Video motion detection and tracking for surveillance applications. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/4145

Chicago Manual of Style (16th Edition):

Quevillon, Joey. “Video motion detection and tracking for surveillance applications.” 2012. Masters Thesis, University of Victoria. Accessed October 30, 2020. http://hdl.handle.net/1828/4145.

MLA Handbook (7th Edition):

Quevillon, Joey. “Video motion detection and tracking for surveillance applications.” 2012. Web. 30 Oct 2020.

Vancouver:

Quevillon J. Video motion detection and tracking for surveillance applications. [Internet] [Masters thesis]. University of Victoria; 2012. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1828/4145.

Council of Science Editors:

Quevillon J. Video motion detection and tracking for surveillance applications. [Masters Thesis]. University of Victoria; 2012. Available from: http://hdl.handle.net/1828/4145


University of Victoria

3. Agahchen, Anissa. A Computational Approach for the Study of Color Modulation and Contrasts in Visual Art.

Degree: Department of Computer Science, 2014, University of Victoria

 This thesis describes a computational approach for analyzing the color aesthetics of images from the perspective of color theory. Our work has been informed by… (more)

Subjects/Keywords: color modulation; contrast of hue; cold-warm contrast; visual art; Itten; computer vision; business document; computational model; color palette visualization

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APA (6th Edition):

Agahchen, A. (2014). A Computational Approach for the Study of Color Modulation and Contrasts in Visual Art. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/5625

Chicago Manual of Style (16th Edition):

Agahchen, Anissa. “A Computational Approach for the Study of Color Modulation and Contrasts in Visual Art.” 2014. Masters Thesis, University of Victoria. Accessed October 30, 2020. http://hdl.handle.net/1828/5625.

MLA Handbook (7th Edition):

Agahchen, Anissa. “A Computational Approach for the Study of Color Modulation and Contrasts in Visual Art.” 2014. Web. 30 Oct 2020.

Vancouver:

Agahchen A. A Computational Approach for the Study of Color Modulation and Contrasts in Visual Art. [Internet] [Masters thesis]. University of Victoria; 2014. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1828/5625.

Council of Science Editors:

Agahchen A. A Computational Approach for the Study of Color Modulation and Contrasts in Visual Art. [Masters Thesis]. University of Victoria; 2014. Available from: http://hdl.handle.net/1828/5625


University of Victoria

4. Beugeling, Trevor Robert John. Computer vision-based analysis of human daily actions using Hidden Markovian Models.

Degree: Dept. of Electrical and Computer Engineering, 2011, University of Victoria

 The study of human motion from a medical standpoint has traditionally involved the use of marker-based motion tracking systems, as well as other sensory devices.… (more)

Subjects/Keywords: human motion; analysis

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APA (6th Edition):

Beugeling, T. R. J. (2011). Computer vision-based analysis of human daily actions using Hidden Markovian Models. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/3293

Chicago Manual of Style (16th Edition):

Beugeling, Trevor Robert John. “Computer vision-based analysis of human daily actions using Hidden Markovian Models.” 2011. Masters Thesis, University of Victoria. Accessed October 30, 2020. http://hdl.handle.net/1828/3293.

MLA Handbook (7th Edition):

Beugeling, Trevor Robert John. “Computer vision-based analysis of human daily actions using Hidden Markovian Models.” 2011. Web. 30 Oct 2020.

Vancouver:

Beugeling TRJ. Computer vision-based analysis of human daily actions using Hidden Markovian Models. [Internet] [Masters thesis]. University of Victoria; 2011. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1828/3293.

Council of Science Editors:

Beugeling TRJ. Computer vision-based analysis of human daily actions using Hidden Markovian Models. [Masters Thesis]. University of Victoria; 2011. Available from: http://hdl.handle.net/1828/3293


University of Victoria

5. Svendsen, Jeremy Paul. Chart Detection and Recognition in Graphics Intensive Business Documents.

Degree: Department of Electrical and Computer Engineering, 2015, University of Victoria

 Document image analysis involves the recognition and understanding of document images using computer vision techniques. The research described in this thesis relates to the recognition… (more)

Subjects/Keywords: Computer Vision; Document Image Analysis

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APA (6th Edition):

Svendsen, J. P. (2015). Chart Detection and Recognition in Graphics Intensive Business Documents. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/6996

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):

Svendsen, Jeremy Paul. “Chart Detection and Recognition in Graphics Intensive Business Documents.” 2015. Thesis, University of Victoria. Accessed October 30, 2020. http://hdl.handle.net/1828/6996.

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

MLA Handbook (7th Edition):

Svendsen, Jeremy Paul. “Chart Detection and Recognition in Graphics Intensive Business Documents.” 2015. Web. 30 Oct 2020.

Vancouver:

Svendsen JP. Chart Detection and Recognition in Graphics Intensive Business Documents. [Internet] [Thesis]. University of Victoria; 2015. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1828/6996.

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

Council of Science Editors:

Svendsen JP. Chart Detection and Recognition in Graphics Intensive Business Documents. [Thesis]. University of Victoria; 2015. Available from: http://hdl.handle.net/1828/6996

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


University of Victoria

6. Gebali, Aleya. Detection of salient events in large datasets of underwater video.

Degree: Dept. of Electrical and Computer Engineering, 2012, University of Victoria

 NEPTUNE Canada possesses a large collection of video data for monitoring marine life. Such data is important for marine biologists who can observe species in… (more)

Subjects/Keywords: Computer Vision; Video Abstract

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APA (6th Edition):

Gebali, A. (2012). Detection of salient events in large datasets of underwater video. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/4156

Chicago Manual of Style (16th Edition):

Gebali, Aleya. “Detection of salient events in large datasets of underwater video.” 2012. Masters Thesis, University of Victoria. Accessed October 30, 2020. http://hdl.handle.net/1828/4156.

MLA Handbook (7th Edition):

Gebali, Aleya. “Detection of salient events in large datasets of underwater video.” 2012. Web. 30 Oct 2020.

Vancouver:

Gebali A. Detection of salient events in large datasets of underwater video. [Internet] [Masters thesis]. University of Victoria; 2012. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1828/4156.

Council of Science Editors:

Gebali A. Detection of salient events in large datasets of underwater video. [Masters Thesis]. University of Victoria; 2012. Available from: http://hdl.handle.net/1828/4156

7. Sadhu, Tanmana. Obstacle detection for image-guided surface water navigation.

Degree: Department of Electrical and Computer Engineering, 2016, University of Victoria

 An issue of concern for maritime safety when operating a small to medium-sized sailboat is that the presence of hazards in the navigational route in… (more)

Subjects/Keywords: image processing; computer vision; autonomous navigation; saliency; linear regression

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APA (6th Edition):

Sadhu, T. (2016). Obstacle detection for image-guided surface water navigation. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7540

Chicago Manual of Style (16th Edition):

Sadhu, Tanmana. “Obstacle detection for image-guided surface water navigation.” 2016. Masters Thesis, University of Victoria. Accessed October 30, 2020. http://hdl.handle.net/1828/7540.

MLA Handbook (7th Edition):

Sadhu, Tanmana. “Obstacle detection for image-guided surface water navigation.” 2016. Web. 30 Oct 2020.

Vancouver:

Sadhu T. Obstacle detection for image-guided surface water navigation. [Internet] [Masters thesis]. University of Victoria; 2016. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1828/7540.

Council of Science Editors:

Sadhu T. Obstacle detection for image-guided surface water navigation. [Masters Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7540


University of Victoria

8. Mehrnejad, Marzieh. Towards robust identification of slow moving animals in deep-sea imagery by integrating shape and appearance cues.

Degree: Department of Electrical and Computer Engineering, 2015, University of Victoria

 Underwater video data are a rich source of information for marine biologists. However, the large amount of recorded video creates a ’big data’ problem, which… (more)

Subjects/Keywords: Computer Vision; Classification; Neural Networks; Machine Learning

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APA (6th Edition):

Mehrnejad, M. (2015). Towards robust identification of slow moving animals in deep-sea imagery by integrating shape and appearance cues. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/6439

Chicago Manual of Style (16th Edition):

Mehrnejad, Marzieh. “Towards robust identification of slow moving animals in deep-sea imagery by integrating shape and appearance cues.” 2015. Masters Thesis, University of Victoria. Accessed October 30, 2020. http://hdl.handle.net/1828/6439.

MLA Handbook (7th Edition):

Mehrnejad, Marzieh. “Towards robust identification of slow moving animals in deep-sea imagery by integrating shape and appearance cues.” 2015. Web. 30 Oct 2020.

Vancouver:

Mehrnejad M. Towards robust identification of slow moving animals in deep-sea imagery by integrating shape and appearance cues. [Internet] [Masters thesis]. University of Victoria; 2015. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1828/6439.

Council of Science Editors:

Mehrnejad M. Towards robust identification of slow moving animals in deep-sea imagery by integrating shape and appearance cues. [Masters Thesis]. University of Victoria; 2015. Available from: http://hdl.handle.net/1828/6439


University of Victoria

9. Bonneau, Patrick. Automatic detection of fiducial markers from electronic portal images of prostate radiotherapy.

Degree: Dept. of Electrical and Computer Engineering, 2011, University of Victoria

 Prostate cancer is the most common type of cancer afflicting Canadian men. Image-guided external radiation therapy of prostate cancer requires the accurate positioning of the… (more)

Subjects/Keywords: IGRT; Image-guided radiation therapy; Biomedical Engineering; Prostate; Cancer; Ficucial marker; gold seed

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APA (6th Edition):

Bonneau, P. (2011). Automatic detection of fiducial markers from electronic portal images of prostate radiotherapy. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/3424

Chicago Manual of Style (16th Edition):

Bonneau, Patrick. “Automatic detection of fiducial markers from electronic portal images of prostate radiotherapy.” 2011. Masters Thesis, University of Victoria. Accessed October 30, 2020. http://hdl.handle.net/1828/3424.

MLA Handbook (7th Edition):

Bonneau, Patrick. “Automatic detection of fiducial markers from electronic portal images of prostate radiotherapy.” 2011. Web. 30 Oct 2020.

Vancouver:

Bonneau P. Automatic detection of fiducial markers from electronic portal images of prostate radiotherapy. [Internet] [Masters thesis]. University of Victoria; 2011. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1828/3424.

Council of Science Editors:

Bonneau P. Automatic detection of fiducial markers from electronic portal images of prostate radiotherapy. [Masters Thesis]. University of Victoria; 2011. Available from: http://hdl.handle.net/1828/3424


University of Victoria

10. Moria, Kawther. Computer vision-based detection of fire and violent actions performed by individuals in videos acquired with handheld devices.

Degree: Department of Computer Science, 2016, University of Victoria

 Advances in social networks and multimedia technologies greatly facilitate the recording and sharing of video data on violent social and/or political events via In- ternet.… (more)

Subjects/Keywords: Object detection; Fire detection; Object recognition; Violent scene detection; Crowd recognition.

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APA (6th Edition):

Moria, K. (2016). Computer vision-based detection of fire and violent actions performed by individuals in videos acquired with handheld devices. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7423

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):

Moria, Kawther. “Computer vision-based detection of fire and violent actions performed by individuals in videos acquired with handheld devices.” 2016. Thesis, University of Victoria. Accessed October 30, 2020. http://hdl.handle.net/1828/7423.

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

MLA Handbook (7th Edition):

Moria, Kawther. “Computer vision-based detection of fire and violent actions performed by individuals in videos acquired with handheld devices.” 2016. Web. 30 Oct 2020.

Vancouver:

Moria K. Computer vision-based detection of fire and violent actions performed by individuals in videos acquired with handheld devices. [Internet] [Thesis]. University of Victoria; 2016. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1828/7423.

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

Council of Science Editors:

Moria K. Computer vision-based detection of fire and violent actions performed by individuals in videos acquired with handheld devices. [Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7423

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


University of Victoria

11. Gat, Christopher. Feature-based matching in historic repeat photography: an evaluation and assessment of feasibility.

Degree: Dept. of Computer Science, 2011, University of Victoria

 This study reports on the quantitative evaluation of a set of state-of-the-art feature detectors and descriptors in the context of repeat photography. Unlike most related… (more)

Subjects/Keywords: feature matching; detection; description; detectors; descriptors; rephotography; mountain legacy project; registration; Hessian-lalplace; DoG; MSER; SIFT; shape context

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APA (6th Edition):

Gat, C. (2011). Feature-based matching in historic repeat photography: an evaluation and assessment of feasibility. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/3461

Chicago Manual of Style (16th Edition):

Gat, Christopher. “Feature-based matching in historic repeat photography: an evaluation and assessment of feasibility.” 2011. Masters Thesis, University of Victoria. Accessed October 30, 2020. http://hdl.handle.net/1828/3461.

MLA Handbook (7th Edition):

Gat, Christopher. “Feature-based matching in historic repeat photography: an evaluation and assessment of feasibility.” 2011. Web. 30 Oct 2020.

Vancouver:

Gat C. Feature-based matching in historic repeat photography: an evaluation and assessment of feasibility. [Internet] [Masters thesis]. University of Victoria; 2011. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1828/3461.

Council of Science Editors:

Gat C. Feature-based matching in historic repeat photography: an evaluation and assessment of feasibility. [Masters Thesis]. University of Victoria; 2011. Available from: http://hdl.handle.net/1828/3461

12. Al-Hammuri, Khalid. Computer vision-based tracking and feature extraction for lingual ultrasound.

Degree: Department of Electrical and Computer Engineering, 2019, University of Victoria

 Lingual ultrasound is emerging as an important tool for providing visual feedback to second language learners. In this study, ultrasound videos were recorded in sagittal… (more)

Subjects/Keywords: computer vision; lingual ultrasound; tracking; feature extraction; tongue

…Ultrasound data was collected with a collaboration of the University of Victoria linguistic… 

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APA (6th Edition):

Al-Hammuri, K. (2019). Computer vision-based tracking and feature extraction for lingual ultrasound. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/10812

Chicago Manual of Style (16th Edition):

Al-Hammuri, Khalid. “Computer vision-based tracking and feature extraction for lingual ultrasound.” 2019. Masters Thesis, University of Victoria. Accessed October 30, 2020. http://hdl.handle.net/1828/10812.

MLA Handbook (7th Edition):

Al-Hammuri, Khalid. “Computer vision-based tracking and feature extraction for lingual ultrasound.” 2019. Web. 30 Oct 2020.

Vancouver:

Al-Hammuri K. Computer vision-based tracking and feature extraction for lingual ultrasound. [Internet] [Masters thesis]. University of Victoria; 2019. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1828/10812.

Council of Science Editors:

Al-Hammuri K. Computer vision-based tracking and feature extraction for lingual ultrasound. [Masters Thesis]. University of Victoria; 2019. Available from: http://hdl.handle.net/1828/10812


University of Victoria

13. Svendsen, Jeremy Paul. Analysis of motor skills in subjects with Down's Syndrome using computer vision techniques.

Degree: Dept. of Electrical and Computer Engineering, 2010, University of Victoria

 Computer vision techniques for human motion analysis have the potential to significantly improve the monitoring of motor rehabilitation processes. With respect to traditional marker-based techniques,… (more)

Subjects/Keywords: Computer vision; Down Syndrome; UVic Subject Index::Sciences and Engineering::Applied Sciences::Computer science

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APA (6th Edition):

Svendsen, J. P. (2010). Analysis of motor skills in subjects with Down's Syndrome using computer vision techniques. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/2834

Chicago Manual of Style (16th Edition):

Svendsen, Jeremy Paul. “Analysis of motor skills in subjects with Down's Syndrome using computer vision techniques.” 2010. Masters Thesis, University of Victoria. Accessed October 30, 2020. http://hdl.handle.net/1828/2834.

MLA Handbook (7th Edition):

Svendsen, Jeremy Paul. “Analysis of motor skills in subjects with Down's Syndrome using computer vision techniques.” 2010. Web. 30 Oct 2020.

Vancouver:

Svendsen JP. Analysis of motor skills in subjects with Down's Syndrome using computer vision techniques. [Internet] [Masters thesis]. University of Victoria; 2010. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1828/2834.

Council of Science Editors:

Svendsen JP. Analysis of motor skills in subjects with Down's Syndrome using computer vision techniques. [Masters Thesis]. University of Victoria; 2010. Available from: http://hdl.handle.net/1828/2834


University of Victoria

14. Shrikhande, Kedar. Model-based analysis and visualization of conflicting requirements in the early stages of software development.

Degree: Dept. of Computer Science, 2007, University of Victoria

 Many of the failures and deficiencies of software projects can be attributed to the lack of effort exerted in addressing requirements in the early planning… (more)

Subjects/Keywords: Requirements engineering; Conflict resolution; Stakeholder negotiation; UVic Subject Index::Sciences and Engineering::Applied Sciences::Computer science

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APA (6th Edition):

Shrikhande, K. (2007). Model-based analysis and visualization of conflicting requirements in the early stages of software development. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/200

Chicago Manual of Style (16th Edition):

Shrikhande, Kedar. “Model-based analysis and visualization of conflicting requirements in the early stages of software development.” 2007. Masters Thesis, University of Victoria. Accessed October 30, 2020. http://hdl.handle.net/1828/200.

MLA Handbook (7th Edition):

Shrikhande, Kedar. “Model-based analysis and visualization of conflicting requirements in the early stages of software development.” 2007. Web. 30 Oct 2020.

Vancouver:

Shrikhande K. Model-based analysis and visualization of conflicting requirements in the early stages of software development. [Internet] [Masters thesis]. University of Victoria; 2007. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1828/200.

Council of Science Editors:

Shrikhande K. Model-based analysis and visualization of conflicting requirements in the early stages of software development. [Masters Thesis]. University of Victoria; 2007. Available from: http://hdl.handle.net/1828/200


University of Victoria

15. Malakuti, Kaveh. Towards an intelligent bed sensor: Non-intrusive monitoring of sleep disturbances via computer vision techniques.

Degree: Dept. of Electrical and Computer Engineering, 2008, University of Victoria

 Sleep related breathing irregularities and sleep disturbances affect a surprisingly large number of people in the society. Due to the high risks of chronic and… (more)

Subjects/Keywords: Sleep Monitoring; Computer Vision; UVic Subject Index::Sciences and Engineering::Engineering::Electrical engineering

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APA (6th Edition):

Malakuti, K. (2008). Towards an intelligent bed sensor: Non-intrusive monitoring of sleep disturbances via computer vision techniques. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/1297

Chicago Manual of Style (16th Edition):

Malakuti, Kaveh. “Towards an intelligent bed sensor: Non-intrusive monitoring of sleep disturbances via computer vision techniques.” 2008. Masters Thesis, University of Victoria. Accessed October 30, 2020. http://hdl.handle.net/1828/1297.

MLA Handbook (7th Edition):

Malakuti, Kaveh. “Towards an intelligent bed sensor: Non-intrusive monitoring of sleep disturbances via computer vision techniques.” 2008. Web. 30 Oct 2020.

Vancouver:

Malakuti K. Towards an intelligent bed sensor: Non-intrusive monitoring of sleep disturbances via computer vision techniques. [Internet] [Masters thesis]. University of Victoria; 2008. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1828/1297.

Council of Science Editors:

Malakuti K. Towards an intelligent bed sensor: Non-intrusive monitoring of sleep disturbances via computer vision techniques. [Masters Thesis]. University of Victoria; 2008. Available from: http://hdl.handle.net/1828/1297

.