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» Learning Local Models For 2d Human Motion Tracking
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NIPS
2008
13 years 10 months ago
Learning a discriminative hidden part model for human action recognition
We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden conditi...
Yang Wang 0003, Greg Mori
ICML
2010
IEEE
13 years 9 months ago
3D Convolutional Neural Networks for Human Action Recognition
We consider the fully automated recognition of actions in uncontrolled environment. Most existing work relies on domain knowledge to construct complex handcrafted features from in...
Shuiwang Ji, Wei Xu, Ming Yang, Kai Yu
ICCV
1998
IEEE
14 years 10 months ago
Wormholes in Shape Space: Tracking Through Discontinuous Changes in Shape
Existing object tracking algorithms generally use some form of local optimisation, assuming that an object's position and shape change smoothly over time. In some situations ...
Tony Heap, David Hogg
FGR
2002
IEEE
212views Biometrics» more  FGR 2002»
14 years 1 months ago
Motion-Based Recognition of People in EigenGait Space
A motion-based, correspondence-free technique for human gait recognition in monocular video is presented. We contend that the planar dynamics of a walking person are encoded in a ...
Chiraz BenAbdelkader, Larry S. Davis, Ross Cutler
ICIP
2006
IEEE
14 years 10 months ago
Tracking Motion-Blurred Targets in Video
Many emerging applications require tracking targets in video. Most existing visual tracking methods do not work well when the target is motion-blurred (especially due to fast moti...
Shengyang Dai, Ming Yang, Ying Wu, Aggelos K. Kats...