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» Discriminating Intended Human Objects in Consumer Videos
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ICCV
2009
IEEE
14 years 10 months ago
Weakly supervised discriminative localization and classification: a joint learning process
Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first ...
Minh Hoai Nguyen, Lorenzo Torresani, Fernando de l...
AVSS
2006
IEEE
13 years 11 months ago
3D Human Motion Analysis in Monocular Video Techniques and Challenges
Extracting meaningful 3D human motion information from video sequences is of interest for applications like intelligent humancomputer interfaces, biometrics, video browsing and ind...
Cristian Sminchisescu
CVPR
1998
IEEE
14 years 7 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...
CIVR
2008
Springer
141views Image Analysis» more  CIVR 2008»
13 years 6 months ago
Experiments in interactive video search by addition and subtraction
We have developed an interactive video search system that allows the searcher to rapidly assess query results and easily pivot off those results to form new queries. The system i...
John Adcock, Matthew L. Cooper, Jeremy Pickens
DAGM
2009
Springer
13 years 11 months ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters