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» Target tracking using mean-shift and affine structure
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78
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ICPR
2008
IEEE
15 years 10 months ago
Target tracking using mean-shift and affine structure
Chuan Zhao, Andrew Knight, Ian Reid
115
Voted
ACCV
2007
Springer
15 years 10 months ago
Spatiotemporal Oriented Energy Features for Visual Tracking
This paper presents a novel feature set for visual tracking that is derived from “oriented energies”. More specifically, energy measures are used to capture a target’s multi...
Kevin Cannons, Richard Wildes
132
Voted
VIP
2003
15 years 5 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
119
Voted
ICCV
2007
IEEE
16 years 5 months ago
Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary
Kernel-based trackers aggregate image features within the support of a kernel (a mask) regardless of their spatial structure. These trackers spatially fit the kernel (usually in l...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
127
Voted
ICMCS
2006
IEEE
371views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Automatic Counting of Interacting People by using a Single Uncalibrated Camera
Automatic counting of people, entering or exiting a region of interest, is very important for both business and security applications. This paper introduces an automatic and robus...
Senem Velipasalar, Ying-li Tian, Arun Hampapur