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ICIP
2000
IEEE
14 years 6 months ago
Mean Shift and Optimal Prediction for Efficient Object Tracking
A new paradigm for the efficient color-based tracking of objects seen from a moving camera is presented. The proposed technique employs the mean shift analysis to derive the targe...
Dorin Comaniciu, Visvanathan Ramesh
CVPR
2005
IEEE
14 years 6 months ago
Efficient Mean-Shift Tracking via a New Similarity Measure
The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds local minima of a similarity measure between the color...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis
ICPR
2008
IEEE
13 years 11 months ago
Improvement on Mean Shift based tracking using second-order information
Object tracking based on Mean Shift (MS) algorithm has been very successful and thus receives significant research interests. Unfortunately, traditional MS based tracking only ut...
Lijuan Xiao, Peihua Li
CVPR
2004
IEEE
14 years 6 months ago
Multiple Kernel Tracking with SSD
Kernel-based objective functions optimized using the mean shift algorithm have been demonstrated as an effective means of tracking in video sequences. The resulting algorithms com...
Gregory D. Hager, Maneesh Dewan, Charles V. Stewar...
CVPR
2007
IEEE
14 years 6 months ago
Optimizing Distribution-based Matching by Random Subsampling
We boost the efficiency and robustness of distributionbased matching by random subsampling which results in the minimum number of samples required to achieve a specified probabili...
Alex Po Leung, Shaogang Gong