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» Background Modeling and Subtraction of Dynamic Scenes
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95
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AVSS
2005
IEEE
15 years 3 months ago
Multiple object tracking using elastic matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is gener...
Xingzhi Luo, Suchendra M. Bhandarkar
ICIAR
2005
Springer
15 years 3 months ago
A Novel Tracking Framework Using Kalman Filtering and Elastic Matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is genera...
Xingzhi Luo, Suchendra M. Bhandarkar
CACM
1998
127views more  CACM 1998»
14 years 9 months ago
The Virtual Reality Modeling Language and Java
Abstract. The Virtual Reality Modeling Language (VRML) and Java provide a standardized, portable and platformindependent way to render dynamic, interactive 3D scenes across the Int...
Donald P. Brutzman
223
Voted
CVPR
2012
IEEE
13 years 2 months ago
Foreground Detection Using Spatiotemporal Projection Kernels
Foreground detection is at the core of many video processing tasks. In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D space-tim...
Y. Moshe, H. Hel-Or, and Y. Hel-Or
NIPS
2007
14 years 11 months ago
The discriminant center-surround hypothesis for bottom-up saliency
The classical hypothesis, that bottom-up saliency is a center-surround process, is combined with a more recent hypothesis that all saliency decisions are optimal in a decision-the...
Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos