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» An optical flow probabilistic observation model for tracking
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CVPR
2008
IEEE
14 years 2 months ago
Global data association for multi-object tracking using network flows
We propose a network flow based optimization method for data association needed for multiple object tracking. The maximum-a-posteriori (MAP) data association problem is mapped in...
Li Zhang, Yuan Li, Ramakant Nevatia
CVPR
2006
IEEE
14 years 9 months ago
Robust Tracking and Stereo Matching under Variable Illumination
Illumination inconsistencies cause serious problems for classical computer vision applications such as tracking and stereo matching. We present a new approach to model illuminatio...
Jingdan Zhang, Leonard McMillan, Jingyi Yu
ICASSP
2009
IEEE
14 years 2 months ago
Data-driven online variational filtering in wireless sensor networks
In this paper, a data-driven extension of the variational algorithm is proposed. Based on a few selected sensors, target tracking is performed distributively without any informati...
Hichem Snoussi, Jean-Yves Tourneret, Petar M. Djur...
CVPR
2010
IEEE
14 years 4 months ago
Probabilistic 3D Occupancy Flow with Latent Silhouette Cues
In this paper we investigate shape and motion retrieval in the context of multi-camera systems. We propose a new lowlevel analysis based on latent silhouette cues, particularly su...
Li Guan, Jean-Sebastien Franco, Edmond Boyer, Marc...
CVPR
2009
IEEE
15 years 2 months ago
Contextual Flow
Matching based on local brightness is quite limited, because small changes on local appearance invalidate the constancy in brightness. The root of this limitation is its treatme...
Ying Wu (Northwestern University), Jialue Fan (Nor...