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TMM
2008
167views more  TMM 2008»
15 years 1 months ago
Mining Appearance Models Directly From Compressed Video
In this paper, we propose an approach to learning appearance models of moving objects directly from compressed video. The appearance of a moving object changes dynamically in vide...
Datong Chen, Qiang Liu, Mingui Sun, Jie Yang
CVPR
2011
IEEE
14 years 11 months ago
Fast Unsupervised Ego-Action Learning for First-person Sports Videos
Portable high-quality sports cameras (e.g. head or helmet mounted) built for recording dynamic first-person video footage are becoming a common item among many sports enthusiasts...
Kris Kitani, Yoichi Sato, Takahiro Okabe, Akihiro ...
FCCM
2002
IEEE
133views VLSI» more  FCCM 2002»
15 years 6 months ago
Reconfigurable Shape-Adaptive Template Matching Architectures
This paper presents three reconfigurable computing approaches for a Shape-Adaptive Template Matching (SA-TM) method to retrieve arbitrarily shaped objects within images or video f...
Jörn Gause, Peter Y. K. Cheung, Wayne Luk
133
Voted
CVPR
2001
IEEE
16 years 3 months ago
Evolving Image Segmentations for the Analysis of Video Sequences
A methodology for the segmentation of successive frames of a video sequence is presented. Traditional methods, treating each frame in isolation, are computationally expensive, ign...
A. A. Clark, Barry T. Thomas
ICCV
2007
IEEE
16 years 3 months ago
Event Detection in Crowded Videos
Real-world actions occur often in crowded, dynamic environments. This poses a difficult challenge for current approaches to video event detection because it is difficult to segmen...
Yan Ke, Rahul Sukthankar, Martial Hebert