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PAMI
2006
193views more  PAMI 2006»
14 years 11 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...
ICASSP
2009
IEEE
15 years 6 months ago
Background recovery from video sequences using motion parameters
This paper presents a novel scheme for extracting a still background occluded by a number of foreground objects, moving in different directions and velocities in a video sequence,...
Srenivas Varadarajan, Lina J. Karam, Dinei Florenc...
ICCV
2003
IEEE
16 years 1 months ago
A Sparse Probabilistic Learning Algorithm for Real-Time Tracking
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...
CVPR
2004
IEEE
16 years 1 months ago
Probabilistic Parameter-Free Motion Detection
We propose an original probabilistic parameter-free method for the detection of independently moving objects in an image sequence. We apply a probabilistic perceptual principle, t...
Frédéric Cao, Patrick Bouthemy, Thom...
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
15 years 6 months ago
Environmental robustness in multi-agent teams
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...
Terence Soule, Robert B. Heckendorn