Transcription of IEEE CVPR 2000 - Dorin Comaniciu
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IEEE CVPR 2000 - Dorin Comaniciu
IEEE CVPR 2000. Real-Time Tracking of Non-Rigid Objects using Mean Shift Dorin Comaniciu Visvanathan Ramesh Peter Meer Imaging & Visualization Department Electrical & Computer Engineering Department Siemens Corporate Research Rutgers University 755 College Road East, Princeton, NJ 08540 94 Brett Road, Piscataway, NJ 08855. Abstract 2 Mean Shift Analysis A new method for real-time tracking of non-rigid ob- We de ne next the sample mean shift, introduce the jects seen from a moving camera is proposed. The cen- iterative mean shift procedure, and present a new the- tral computational module is based on the mean shift orem showing the convergence for kernels with convex iterations and nds the most probable target position in and monotonic pro les. For applications of the mean the current frame. The dissimilarity between the target shift property in low level vision ( ltering, segmenta- model (its color distribution) and the target candidates tion) see [6].
where C is a normalization constan t. Then, b y taking the estimate of the densit y gradien t as the gradien tof the densit y estimate w eha v e ^ r f K (x) r)= 2
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