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Improvement of moving object segmentation accuracy in video sequences based on adaptive symmetrical difference and background subtraction

J. LI1, J. XU2, X. SANG1,* , Y. WANG3, B. YAN1, C. YU1

Affiliation

  1. Key Laboratory of Information Photonics and Optical Communications (Beijing University of Posts and Telecommunications), Ministry of Educations, Post box 72(BUPT), Beijing 100876, China
  2. China Civil Airport Equipment Co. Ltd, Beijing, 100621, China
  3. Institute of Forensic Science, Ministry of Public Security, Beijing, 100038, China

Abstract

The segmentation accuracy of moving object in video sequences is usually influenced by illumination variation, noise, shadow, and ghost after the initially static background objects were removed. A novel algorithm combining adaptive symmetrical difference with background subtraction is proposed. The moving object mask is detected through the adaptive symmetrical difference, and points between any pairs on the contour of the mask as motion region are determined. And then, the adaptive background subtraction is carried out in the acquired region and points as motion region are labeled to extract accurate moving object. Morphological operation and shadow cancellation are adopted to refine the result. Experimental results show that the algorithm is robust and effective in improving the segmentation accuracy.

Keywords

Moving object segmentation, Symmetrical difference, Background subtraction, Adaptive threshold.

Citation

J. LI, J. XU, X. SANG, Y. WANG, B. YAN, C. YU, Improvement of moving object segmentation accuracy in video sequences based on adaptive symmetrical difference and background subtraction, Optoelectronics and Advanced Materials - Rapid Communications, 4, 12, December 2010, pp.2172-2177 (2010).

Submitted at: April 20, 2010

Accepted at: Nov. 29, 2010