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» Object tracking: A survey
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ICCV
2001
IEEE
14 years 11 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
VIP
2003
13 years 10 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
SIAMCO
2010
127views more  SIAMCO 2010»
13 years 4 months ago
Tracking with Prescribed Transient Performance for Hysteretic Systems
Tracking of reference signals (assumed bounded with essentially bounded derivative) is considered for a class of single-input, single-output, nonlinear systems, described by a func...
Achim Ilchmann, Hartmut Logemann, Eugene P. Ryan
ICPR
2004
IEEE
14 years 10 months ago
Moving Object Extraction with a Localized Pyramid
In this paper, we present a tracking initialization method that combines a rough extraction of moving objects and a refined segmentation of their contours. The extraction of movin...
Jérémy Huart, Guillaume Foret, Pasca...
TSMC
2008
128views more  TSMC 2008»
13 years 9 months ago
Adaptive Sensor Placement and Boundary Estimation for Monitoring Mass Objects
Sensor networks are widely used in monitoring and tracking a large number of objects. Without prior knowledge on the dynamics of object distribution, their density estimation could...
Zhen Guo, MengChu Zhou, Guofei Jiang