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» Detecting global motion patterns in complex videos
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ICPR
2008
IEEE
14 years 5 months ago
Detecting global motion patterns in complex videos
Learning dominant motion patterns or activities from a video is an important surveillance problem, especially in crowded environments like markets, subways etc., where tracking of...
Min Hu, Mubarak Shah, Saad Ali
ICPR
2008
IEEE
13 years 11 months ago
Complex background modeling and motion detection based on Texture Pattern Flow
This paper proposes a novel Texture Pattern Flow (TPF) for complex background modeling and motion detection. The Pattern Flow is proposed to encode the binary pattern changes amon...
Baochang Zhang, Yongsheng Gao, Bineng Zhong
ICMCS
2005
IEEE
152views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Periodicity Detection of Local Motion
Periodicity is useful for compact representation of periodic motion and a reasonable selection of a proper temporal scale for periodic motion analysis. In this paper, we concern t...
Xiaofeng Tong, Lingyu Duan, Changsheng Xu, Qi Tian...
CVPR
2009
IEEE
14 years 11 months ago
Anomaly Detection in Extremely Crowded Scenes using Spatio-Temporal Motion Pattern Models
Extremely crowded scenes present unique challenges to video analysis that cannot be addressed with conventional approaches. We present a novel statistical framework for modeling...
Louis Kratz (Drexel University), Ko Nishino (Drexe...
ICIP
2000
IEEE
13 years 9 months ago
Low-Complexity Global Motion Estimation from P-Frame Motion Vectors for MPEG-7 Applications
In this contribution, we present an algorithm for lowcomplexity global motion estimation, that works with block-coded video (e.g. MPEG-2). A superimposed global motion model is fi...
Aljoscha Smolic, Michael Hoeynck, Jens-Rainer Ohm