Volume 6 Number 7 (Jul. 2011)
Home > Archive > 2011 > Volume 6 Number 7 (Jul. 2011) >
JSW 2011 Vol.6(7): 1361-1367 ISSN: 1796-217X
doi: 10.4304/jsw.6.7.1361-1367

Moving Objects Detection and Segmentation Based on Background Subtraction and Image Over-Segmentation

Yun-fang Zhu
College of Computer and Information Engineering Zhejiang Gongshang University,Hangzhou, Zhejiang, China

Abstract—Moving objects detection is a fundamental step in many vision based applications. Background subtraction is the typical method. Many background models have been introduced to deal with different problems. The method based on mixture of Gaussians is a good balance between accuracy and complexity, and is used frequently by many researchers. But it still cannot provide satisfied results in some cases. In this paper, we solve this problem by introducing a post process to the initial results of mixture of Gaussians method. An over-segmentation based on color information is used to segment the input frame into patches. The goal of segmentation is to split each image into regions that are likely to belong to the same object. After moving shadow suppression, the outputs of mixture of Gaussians are combined with the color clustered regions to a module for area confidence measurement. In this way, two major segment errors can be corrected. Finally, by connected component labeling, blobs with too small area are filter out, and the contour of moving objects are extracted. Experimental results show that the proposed approach can significantly enhance segmentation results.

Index Terms—moving objection detection; background subtraction; mixture of Gaussians; color clustering

[PDF]

Cite: Yun-fang Zhu, "Moving Objects Detection and Segmentation Based on Background Subtraction and Image Over-Segmentation," Journal of Software vol. 6, no. 7, pp. 1361-1367, 2011.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
  • Dec 06, 2019 News!

    Vol 14, No 1- Vol 14, No 4 has been indexed by EI (Inspec)   [Click]

  • Jun 22, 2020 News!

    Papers published in JSW Vol 14, No 1- Vol 15 No 4 have been indexed by DBLP     [Click]

  • Jun 22, 2020 News!

    The papers published in Vol 15, No 5 have all received dois from Crossref    [Click]

  • Aug 01, 2018 News!

    [CFP] 2020 the annual meeting of JSW Editorial Board, ICCSM 2020, will be held in Rome, Italy, July 17-19, 2020   [Click]

  • Jun 22, 2020 News!

    Vol 15, No 5 has been published with online version     [Click]