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» Probabilistic Object Tracking Using Multiple Features
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CRV
2005
IEEE
219views Robotics» more  CRV 2005»
14 years 2 months ago
People Tracking using Robust Motion Detection and Estimation
Real world computer vision systems highly depend on reliable, robust retrieval of motion cues to make accurate decisions about their surroundings. In this paper, we present a simp...
Markus Latzel, Emilie Darcourt, John K. Tsotsos
ICPR
2010
IEEE
14 years 4 months ago
Bayesian Inference for Nonnegative Matrix Factor Deconvolution Models
In this paper we develop a probabilistic interpretation and a full Bayesian inference for non-negative matrix deconvolution (NMFD) model. Our ultimate goal is unsupervised extract...
Serap Kirbiz, Ali Taylan Cemgil, Bilge Gunsel
CVPR
2008
IEEE
14 years 3 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
CVIU
2007
112views more  CVIU 2007»
13 years 9 months ago
Pedestrian detection and tracking in infrared imagery using shape and appearance
In this paper, we present an approach toward pedestrian detection and tracking from infrared imagery using joint shape and appearance cues. A layered representation is first intr...
Congxia Dai, Yunfei Zheng, Xin Li
ECCV
2010
Springer
14 years 1 months ago
 5D Motion Subspaces for Planar Motions
In practice, rigid objects often move on a plane. The object then rotates around a fixed axis and translates in a plane orthogonal to this axis. For a concrete example, think of a ...
Roland Angst, Marc Pollefeys