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» Tunable Kernels for Tracking
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102
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CVPR
2005
IEEE
16 years 1 months ago
Kernel-Based Bayesian Filtering for Object Tracking
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
CDC
2008
IEEE
106views Control Systems» more  CDC 2008»
15 years 6 months ago
Kernel density estimation in adaptive tracking
Bernard Bercu, Bruno Portier
86
Voted
CVPR
2005
IEEE
15 years 5 months ago
Affine Object Tracking with Kernel-Based Spatial-Color Representation
Haihong Zhang, Weimin Huang, Zhiyong Huang, Liyuan...
CVIU
2008
114views more  CVIU 2008»
14 years 11 months ago
Robust object tracking with background-weighted local kernels
Jaideep Jeyakar, R. Venkatesh Babu, K. R. Ramakris...
103
Voted
PAMI
2008
161views more  PAMI 2008»
14 years 10 months ago
Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...