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Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 10, Iss. 2 — Feb. 10, 2012
  • pp: 021001–

Robust kernel-based tracking algorithm with background contrasting

Rongli Liu and Zhongliang Jing  »View Author Affiliations


Chinese Optics Letters, Vol. 10, Issue 2, pp. 021001- (2012)


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Abstract

The mean-shift algorithm has achieved considerable success in object tracking due to its simplicity and efficiency. Color histogram is a common feature in the description of an object. However, the kernel-based color histogram may not have the ability to discriminate the object from clutter background. To boost the discriminating ability of the feature, based on background contrasting, this letter presents an improved Bhattacharyya similarity metric for mean-shift tracking. Experiments show that the proposed tracker is more robust in relation to background clutter.

© 2012 Chinese Optics Letters

OCIS Codes
(330.7310) Vision, color, and visual optics : Vision
(100.4999) Image processing : Pattern recognition, target tracking

Citation
Rongli Liu and Zhongliang Jing, "Robust kernel-based tracking algorithm with background contrasting," Chin. Opt. Lett. 10, 021001- (2012)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-10-2-021001


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