Research on Bandwidth-Adaptive Mean Shift Algorithm

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Abstract:

With the rapid growth of China's economy, drug trafficking, smuggling, gambling and money laundering crime increased rapidly in the border, which threatened the security and social stability of China. Therefore, how to track the suspicious targets efficiently had become urgent needs to border forces. In the field of computer vision, vision tracking plays a crucial role as a preliminary step for high-level image processing. Mean shift is a non-parametric feature-space analysis technique, a so-called mode seeking algorithm. After discussing the application of Mean shift in the field of target tracking, this paper presented an improved Mean shift algorithm by using an adaptive bandwidth.

Keywords: BANDWIDTH-ADAPTIVE; COMPUTER VISION; MEAN SHIFT; TARGET TRACKING

Document Type: Research Article

DOI: http://dx.doi.org/10.1166/asl.2012.2274

Publication date: March 1, 2012

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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