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» Learning and Recognizing Human Dynamics in Video Sequences
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CVPR
1998
IEEE
15 years 11 months ago
Background Modeling for Segmentation of Video-Rate Stereo Sequences
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
115
Voted
ICMI
2004
Springer
189views Biometrics» more  ICMI 2004»
15 years 3 months ago
A multimodal learning interface for sketch, speak and point creation of a schedule chart
We present a video demonstration of an agent-based test bed application for ongoing research into multi-user, multimodal, computer-assisted meetings. The system tracks a two perso...
Edward C. Kaiser, David Demirdjian, Alexander Grue...
CVPR
2007
IEEE
15 years 11 months ago
Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video
We present a scalable approach to recognizing and describing complex activities in video sequences. We are interested in long-term, sequential activities that may have several par...
Benjamin Laxton, Jongwoo Lim, David J. Kriegman
HUMO
2007
Springer
15 years 3 months ago
Human Action Recognition Using Distribution of Oriented Rectangular Patches
We describe a “bag-of-rectangles” method for representing and recognizing human actions in videos. In this method, each human pose in an action sequence is represented by orien...
Nazli Ikizler, Pinar Duygulu
CVPR
2007
IEEE
15 years 11 months ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury