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» Multiple Object Tracking with Kernel Particle Filter
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CVPR
2007
IEEE
14 years 9 months ago
Tracking Large Variable Numbers of Objects in Clutter
We propose statistical data association techniques for visual tracking of enormously large numbers of objects. We do not assume any prior knowledge about the numbers involved, and...
Margrit Betke, Diane E. Hirsh, Angshuman Bagchi, N...
CVPR
2007
IEEE
14 years 9 months ago
Multimodal Tracking for Smart Videoconferencing and Video Surveillance
Many applications require the ability to track the 3-D motion of the subjects. We build a particle filter based framework for multimodal tracking using multiple cameras and multip...
Dmitry N. Zotkin, Vikas C. Raykar, Ramani Duraiswa...
PAMI
2011
13 years 2 months ago
Learning a Family of Detectors via Multiplicative Kernels
—Object detection is challenging when the object class exhibits large within-class variations. In this work, we show that foreground-background classification (detection) and wit...
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan ...
ICIAR
2005
Springer
14 years 1 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
ICPR
2006
IEEE
14 years 8 months ago
Human Head Tracking in Three Dimensional Voxel Space
This paper proposes a new approach to track a human head in 3-D voxel space. Information of both color and distance is obtained from multiple stereo cameras and integrated in 3-D ...
Haruki Kawanaka, Hironobu Fujiyoshi, Yuji Iwahori