Moving people segmentation from zoomed dynamic scenes containing a door

Peng Zhang, Sabu Emmanuel

Research output: Contribution to journalArticlepeer-review

Abstract

The challenge of segmenting the moving object is harder when the background is dynamic and the camera used can change its zoom dynamically. Here, in this paper, we propose a method to detect and segment moving object from a dynamic background, which contains moving multiple-leaf doors. In addition, the proposed algorithm also takes care of dynamic zoom changes that can occur while shooting a scene. The proposed method uses background-rebuilding with discrete door's position to tackle moving multiple-leaf door backgrounds and image feature comparison to tackle changes in zoom. The experiment results show satisfying segmentation results with high processing speed.

Original languageEnglish
Pages (from-to)169-175
Number of pages7
JournalNew Generation Computing
Volume28
Issue number2
DOIs
StatePublished - Apr 2010
Externally publishedYes

Keywords

  • Moving people
  • Segmentation
  • Visual surveillance
  • Zoomed dynamic scene

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