An Improved CAMSHIFT Tracking Algorithm Applying on Surveillance Videos

Abstract:

In this paper, we present an improved version of CAMSHIFT algorithm applying on surveillance videos. A 2D, hue and brightness, histogram is used to describe the color feature of the target. In this way, videos with poor quality or achromatic points can be characterized better. The flooding process and contribution evaluation are executed to obtain a precise target histogram which reflects true color information and enhances discrimination ability. The proposed method is compared with existing methods and shows steady and satisfactory results.

• Periodical: Advanced Materials Research (Volume 717)
• Pages: 797-802
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.717.797
• Online since: July 2013
• Authors: Shwu Huey Yen, Jui Chen Chien, Hsiao Tsung Lin
• Keywords: Camshift, Flooding, Mean-Shift, Surveillance, Tracking

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