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» Multiple Object Tracking Using Local PCA
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ICARCV
2006
IEEE
132views Robotics» more  ICARCV 2006»
14 years 2 months ago
Dynamic Environment Modeling with Gridmap: A Multiple-Object Tracking Application
— The Bayesian occupancy filter (BOF) [1] has achieved promising results in the object tracking applications. This paper presents a new development of BOF which inherits origina...
Cheng Chen, Christopher Tay, Christian Laugier, Ka...
VIP
2003
13 years 9 months ago
Tracking Using CamShift Algorithm and Multiple Quantized Feature Spaces
The Continuously Adaptive Mean Shift Algorithm (CamShift) is an adaptation of the Mean Shift algorithm for object tracking that is intended as a step towards head and face trackin...
John G. Allen, Richard Y. D. Xu, Jesse S. Jin
TCSV
2008
155views more  TCSV 2008»
13 years 8 months ago
Heterogeneous Fusion of Omnidirectional and PTZ Cameras for Multiple Object Tracking
Dual-camera systems have been widely used in surveillance because of the ability to explore the wide field of view (FOV) of the omnidirectional camera and the wide zoom range of th...
Chung-Hao Chen, Yi Yao, David Page, Besma R. Abidi...
ICASSP
2010
IEEE
13 years 6 months ago
Disambiguation in multidimensional tracking of multiple acoustic sources using a Gaussian likelihood criterion
The TDOA-based acoustic source localization approaches suffer from a pairing problem in the case of multiple dimensions and multiple sources. To resolve this problem, usually thre...
Pengxiao Teng, Anthony Lombard, Walter Kellermann
CVPR
2004
IEEE
14 years 10 months ago
Visual Tracking Using Learned Linear Subspaces
This paper presents a simple but robust visual tracking algorithm based on representing the appearances of objects using affine warps of learned linear subspaces of the image spac...
Jeffrey Ho, Kuang-Chih Lee, Ming-Hsuan Yang, David...