Camshift Algorithm Based on Multi-Features, and its Further Improvement Study

Jian Hua Lin; Gang Fu

doi:10.4028/www.scientific.net/AMR.989-994.2693

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Camshift Algorithm Based on Multi-Features, and...

Camshift Algorithm Based on Multi-Features, and its Further Improvement Study

Abstract:

Camshift is an efficient single-feature algorithm based on color-kernel for simple object tracking. However, it’s easy to be interfered by sudden illumination variation or the similar color object in the background. Experiments show that the improved algorithm can track object accurately in dealing with sudden illumination variation and the similar color object in the background, and can meet the requirements of the actual task of object tracking.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

2693-2696

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.2693

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Online since:

July 2014

Authors:

Jian Hua Lin*, Gang Fu

Keywords:

Camshift Algorithm, Histogram, Multi-Feature Fusion, Object Tracking, Texture Feature

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* - Corresponding Author

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