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Shape descriptor with morphology method for color-based tracking

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Abstract

Tracking images using shape descriptor can be more accurate than using other existing methods and it is most useful when the environment is complex. However the existing methods with shape descriptor get more labeled parts to compare and detect the object in an image, which makes the computation more complicated. Thus, we need a trade-off between the accuracy and efficiency requirements. This paper aims to bridge this gap between the accuracy and efficiency requirements by using morphology method. To improve the original monochromatic object detecting system, we propose a new color descriptor to preprocess the image with polychromatic object. Experiments have been conducted and shown the proposed method has made a great improvement in the time complexity minimization comparing with the performances of the original detection algorithm.

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Authors and Affiliations

  1. Information Science and Engineering School, Ocean University of China, Qingdao, 266071, Shandong, PRC

    Na Wang & Guo-Yu Wang

Authors
  1. Na Wang
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  2. Guo-Yu Wang
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Correspondence to Na Wang.

Additional information

Na Wang received her B.Sc. degree in electronic engineering from the Ocean University of China, China, in 2004. She is now pursuing her M.Sc degree in signal and information processing at the Ocean University of China, China.

Her research interests include image processing and pattern recognition.

Guo-Yu Wang received his B.Sc. and M.Sc. degrees in physics from the Ocean University of China, China, in 1984 and 1987, respectively, and the Ph.D. degree in computer vision from Twente University, The Netherlands, in 2000. In 1987, he was a faculty member at Ocean University of China. Currently, he is a professor in the Department of Electronic Engineering at Ocean University of China.

His research interests include computer vision, signal processing, and pattern recognition.

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Wang, N., Wang, GY. Shape descriptor with morphology method for color-based tracking. Int J Automat Comput 4, 101–108 (2007). https://doi.org/10.1007/s11633-007-0101-9

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  • DOI: https://doi.org/10.1007/s11633-007-0101-9

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