JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2014, Vol. 44 ›› Issue (6): 8-14.doi: 10.6040/j.issn.1672-3961.2.2013.333

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Human contour segmentation in image sequence based on region consolidation and contour model

ZHU Hongjin1,2, FAN Honghui1,2, YE Feiyue1,2, ZANG Haijuan1   

  1. 1. College of Computer Engineering, Jiangsu University of Technology, Changzhou 213001, Jiangsu, China;
    2. Key Laboratory of Cloud Computing & Intelligent Information Processing of Changzhou City, Changzhou 213001, Jiangsu, China
  • Received:2013-06-28 Revised:2014-03-17 Online:2014-12-20 Published:2013-06-28

Abstract: Affected by complexity of image background, it was more difficult to achieve high-precision of human contour tracking in image sequence based on watershed algorithm. In order to improve the detection precision, a region consolidation method based on color space transform and a contour model of head using head position information were proposed. The upper part of the human body template based on contour model of head and Gaussian function was founded. The proposed method could be achieved by human detection and tracking without motion vector and inter-frame difference. Human contour could be segmented correctly in image sequence based on color space transform of region consolidation and contour model of head in changing and complex video background. Experimental results demonstrated that human contour could be segmented effectively. The effectiveness and robustness of the proposed method were indicated by the experiments.

Key words: contour model, image sequence, color space transform, region consolidation, watershed algorithm, human contour segmentation

CLC Number: 

  • TP391.4
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