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ICCV
2007
IEEE
14 years 9 months ago
Chaotic Invariants for Human Action Recognition
The paper introduces an action recognition framework that uses concepts from the theory of chaotic systems to model and analyze nonlinear dynamics of human actions. Trajectories o...
Saad Ali, Arslan Basharat, Mubarak Shah
ICPR
2008
IEEE
14 years 1 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
EVENT
2001
267views more  EVENT 2001»
13 years 9 months ago
View-Invariant Representation and Learning of Human Action
Automatically understanding human actions from video sequences is a very challenging problem. This involves the extraction of relevant visual information from a video sequence, re...
Cen Rao, Mubarak Shah
JDCTA
2010
152views more  JDCTA 2010»
13 years 2 months ago
Robust and Geometric Invariant Watermarking Scheme using Block and Gray-Level Histograms
As one of the crucial problems in watermarking, robustness against geometric distortion and JPEG compression becomes more than challenging and problematic. In this paper, a robust...
Chi-Man Pun, Xiaochen Yuan
WWW
2009
ACM
14 years 8 months ago
Detecting image spam using local invariant features and pyramid match kernel
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, we extract local invariant features ...
Haiqiang Zuo, Weiming Hu, Ou Wu, Yunfei Chen, Guan...