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ICIP
2007
IEEE
16 years 8 months ago
MAP Particle Selection in Shape-Based Object Tracking
The Bayesian filtering for recursive state estimation and the shape-based matching methods are two of the most commonly used approaches for target tracking. The Multiple Hypothesi...
Alessio Dore, Carlo S. Regazzoni, Mirko Musso
ICPR
2002
IEEE
16 years 8 months ago
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
Michael E. Farmer, Rein-Lien Hsu, Anil K. Jain
CVPR
2010
IEEE
16 years 3 months ago
Visual Object Tracking using Adaptive Correlation Filters
Although not commonly used, correlation filters can track complex objects through rotations, occlusions and other distractions at over 20 times the rate of current state-ofthe-ar...
David Bolme, J Ross Beveridge, Bruce Draper, Yui M...
CVPR
2010
IEEE
1639views Computer Vision» more  CVPR 2010»
16 years 3 months ago
Multi-Target Tracking of Time-varying Spatial Patterns
Time-varying spatial patterns are common, but few computational tools exist for discovering and tracking multiple, sometimes overlapping, spatial structures of targets. We propose...
Jingchen Liu, Yanxi Liu
CGO
2009
IEEE
16 years 1 months ago
Fast Track: A Software System for Speculative Program Optimization
—Fast track is a software speculation system that enables unsafe optimization of sequential code. It speculatively runs optimized code to improve performance and then checks the ...
Kirk Kelsey, Tongxin Bai, Chen Ding, Chengliang Zh...