Method of detecting multiple moving object based on improved level set

Jing Li*, Jun Zheng Wang, Shao Min Liang, Wei Shen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

In the case of multiple moving object detection, the join of objects and shadow always leads to the failure of object detection. To solve this problem, an improved level set method is proposed. Moving information is extracted via symmetrical difference and it is merged into the velocity function of level set. The evolved curve is obtained after the first segmentation, hence the information of object location could be found. According to the information difference between object and shadow, the velocity function of lever set should be adjusted or modified. After the second segmentation, the multiple objects and their shadow can be separated accurately. The proposed method has been tested to detect moving object in motorway monitoring system. Experimental results show that the proposed algorithm is able to extract the contour of moving object effectively. Its processing speed is 24 frame/s and accuracy rate of shadow elimination reaches 98.6%.

Original languageEnglish
Pages (from-to)557-561
Number of pages5
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume31
Issue number5
Publication statusPublished - May 2011

Keywords

  • Level set
  • Multiple object detection
  • Shadow elimination
  • Statistical image energy

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