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» A general method for human activity recognition in video
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PAMI
2008
302views more  PAMI 2008»
13 years 9 months ago
Learning to Detect Moving Shadows in Dynamic Environments
We propose a novel adaptive technique for detecting moving shadows and distinguishing them from moving objects in video sequences. Most methods for detecting shadows work in a stat...
Ajay J. Joshi, Nikolaos Papanikolopoulos
MM
2006
ACM
221views Multimedia» more  MM 2006»
14 years 2 months ago
Video object segmentation by motion-based sequential feature clustering
Segmentation of video foreground objects from background has many important applications, such as human computer interaction, video compression, multimedia content editing and man...
Mei Han, Wei Xu, Yihong Gong
MM
2004
ACM
212views Multimedia» more  MM 2004»
14 years 2 months ago
Nonparametric motion model
Motion information is a powerful cue for visual perception. In the context of video indexing and retrieval, motion content serves as a useful source for compact video representati...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu
IROS
2007
IEEE
134views Robotics» more  IROS 2007»
14 years 3 months ago
Feature selection for grasp recognition from optical markers
Abstract— Although the human hand is a complex biomechanical system, only a small set of features may be necessary for observation learning of functional grasp classes. We explor...
Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchel...
ICCV
2003
IEEE
14 years 11 months ago
3D Tracking = Classification + Interpolation
Hand gestures are examples of fast and complex motions. Computers fail to track these in fast video, but sleight of hand fools humans as well: what happens too quickly we just can...
Carlo Tomasi, Slav Petrov, Arvind Sastry