Overview:
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A large precentage of the images and video that exists today - from personal photo collections to webcams to online images - contain people. We are working on automated methods for analyzing people from such data. Such methods have a variety of applications from pedestrian detection for autonomous vehicles to surveillance-based security to motion capture for computer graphics & interaction. We are also interested in higher-level activity models that can capture human actions and behavior.

Publications:
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Monocular 3-D Gait Tracking in Surveillance Scenes
Grégory Rogez, Jonathan Rihan, J.J. Guerrero, Carlos Orrite
Cybernetics, IEEE Transactions on, 2013, PP, 99.
[pdf]
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Fast Human Pose Detection Using Randomized Hierarchical Cascades of Rejectors
Grégory Rogez, Jonathan Rihan, Carlos Orrite, Philip Torr
International Journal of Computer Vision, 2012, 99, 1, 25-52.
[pdf]
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A Large-scale Benchmark Dataset for Event Recognition in Surveillance Video
Sangmin Oh, Anthony Hoogs, Amitha Perera, Naresh Cuntoor, C.-C. Chen, Jong Lee, Saurajit Mukherjee, J. Aggarwal, Hyungtae Lee, Larry Davis, Eran Swears, Xioyang Wang, Qiang Ji, Kishore Reddy, Mubarak Shah, Carl Vondrick, Hamed Pirsiavash, Deva Ramanan, Jenny Yuen, Antonio Torralba, Bi Song, Anesco Fong, Amit Roy-Chowdhury, Mita Desai
CVPR, 2011.
[pdf]
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Where's Waldo: Matching People in Images of Crowds
Rahul Garg, Deva Ramanan, Steve Seitz, Noah Snavely
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
[pdf]
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Robust Tracking of the Upper Limb for Functional Stroke Assessment
Sonya Allin, Nancy Baker, Emily Eckel, Deva Ramanan
IEEE Transactions on Neural Systems and Rehabilitation Engineering (NSRE), 2010.
[pdf]
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Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces
Carl Vondrick, Deva Ramanan, Donald Patterson
Proc. of the European Conference on Computer Vision, 2010.
[pdf]
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Discriminative models for static human-object interactions
Chaitanya Desai, Deva Ramanan, Charless Fowlkes
IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Structured Prediction, 2010.
[pdf]
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Assessment of Post Stroke Functioning Using Machine Vision
Sonya Allin, Deva Ramanan
IAPR Conference on Machine Vision Applications (MVA), 2007.
[pdf]
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Tracking People by Learning Their Appearance
Deva Ramanan, D.A. Forsyth, Andrew Zisserman
PAMI, 2007, 29, 1, 65-81.
[pdf]
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Learning to parse images of articulated bodies
Deva Ramanan
Advances in Neural Information Processing Systems 19, 2007, 1129--1136.
[pdf]
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Training Deformable Models for Localization
Deva Ramanan, Cristian Sminchisescu
CVPR, 2006, I: 206-213.
[pdf]
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Tracking People and Recognizing Their Activities
Deva Ramanan, D.A. Forsyth, Andrew Zisserman
CVPR, 2005, II: 1194.
[pdf]
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Computational studies of human motion: part 1, tracking and motion synthesis
David Forsyth, Okan Arikan, Leslie Ikemoto, James O'Brien, Deva Ramanan
Found. Trends. Comput. Graph. Vis., 2005, 1, 2-3, 77--254.
[pdf]
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Automatic Annotation of Everyday Movements
Deva Ramanan, David Forsyth
Advances in Neural Information Processing Systems 16, 2004.
[pdf]
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