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» Compositional Object Recognition, Segmentation, and Tracking...
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EMMCVPR
2007
Springer
15 years 6 months ago
Bottom-Up Recognition and Parsing of the Human Body
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Praveen Srinivasan, Jianbo Shi
CVPR
2007
IEEE
16 years 1 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren
CRV
2007
IEEE
137views Robotics» more  CRV 2007»
15 years 6 months ago
Computing View-normalized Body Parts Trajectories
This paper proposes an approach to compute viewnormalized body part trajectories of pedestrians from monocular video sequences. The proposed approach first extracts the 2D trajec...
Frédéric Jean, Robert Bergevin, Alex...
IVC
2002
185views more  IVC 2002»
14 years 11 months ago
Path detection in video surveillance
This paper addresses the problem of automatically extracting frequently used pedestrian pathways from video sequences of natural outdoor scenes. Path models are learnt from the ac...
Dimitrios Makris, Tim Ellis
CVPR
2011
IEEE
14 years 6 months ago
Stable Multi-Target Tracking in Real-Time Surveillance Video
The majority of existing pedestrian trackers concentrate on maintaining the identities of targets, however systems for remote biometric analysis or activity recognition in surveill...
Ben Benfold and Ian Reid