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» Novel Observation Model for Probabilistic Object Tracking
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ICIC
2005
Springer
14 years 2 months ago
Sequential Stratified Sampling Belief Propagation for Multiple Targets Tracking
Rather than the difficulties of highly non-linear and non-Gaussian observation process and the state distribution in single target tracking, the presence of a large, varying number...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
CVPR
2009
IEEE
15 years 4 months ago
Visual Tracking with Online Multiple Instance Learning
In this paper, we address the problem of learning an adaptive appearance model for object tracking. In particular, a class of tracking techniques called “tracking by detectionâ...
Boris Babenko, Ming-Hsuan Yang, Serge J. Belongie
IJCV
2007
134views more  IJCV 2007»
13 years 9 months ago
Multi-sensory and Multi-modal Fusion for Sentient Computing
This paper presents an approach to multi-sensory and multi-modal fusion in which computer vision information obtained from calibrated cameras is integrated with a large-scale sent...
Christopher Town
JVCA
2006
110views more  JVCA 2006»
13 years 9 months ago
As-consistent-As-possible compositing of virtual objects and video sequences
We present an efficient approach that merges the virtual objects into video sequences taken by a freely moving camera in a realistic manner. The composition is visually and geomet...
Guofeng Zhang, Xueying Qin, Xiaobo An, Wei Chen, H...
ICDE
2009
IEEE
148views Database» more  ICDE 2009»
14 years 10 months ago
Probabilistic Inference over RFID Streams in Mobile Environments
Abstract-- Recent innovations in RFID technology are enabling large-scale cost-effective deployments in retail, healthcare, pharmaceuticals and supply chain management. The advent ...
Thanh Tran 0002, Charles Sutton, Richard Cocci, Ya...