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Proceedings Paper

A scale rotation adaptive new mean shift tracking method
Author(s): Heng Zhang; Lichun Li; You Li; Qifeng Yu
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Paper Abstract

The mean shift algorithm is an efficient technique for tracking 2D blobs through an image. The scale of the mean shift kernel is a crucial parameter. Classic Mean shift based tracking algorithm uses fixed kernel-bandwidth, which limits the performance when the object scale exceeds the size of the tracking window. Although some modified algorithms can settle the problem of object zooming in a way, these algorithms are helpless to the object rotation. Based on the analysis of the scale-space theory and the current Mean shift algorithms, a scale and rotation adaptive mean shift tracking algorithm is proposed. Experimental results show that the new method can effectively and accurately obtain the best description of the target areas for the first frame, and the new mean shift tracking algorithm can adapt to any kind of object's movements.

Paper Details

Date Published: 28 November 2007
PDF: 8 pages
Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68330S (28 November 2007); doi: 10.1117/12.757134
Show Author Affiliations
Heng Zhang, National Univ. of Defense Technology (China)
Lichun Li, National Univ. of Defense Technology (China)
You Li, National Univ. of Defense Technology (China)
Qifeng Yu, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 6833:
Electronic Imaging and Multimedia Technology V
Liwei Zhou; Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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