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» Background Modeling and Subtraction of Dynamic Scenes
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108
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AVSS
2005
IEEE
15 years 5 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 5 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 11 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
251
Voted
CVPR
2012
IEEE
13 years 5 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
15 years 1 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