An algorithm for segmenting moving vehicles

Su Zhang, Hanfeng Chen, Zheru Chi, Pengfei Shi

Research output: Journal article publicationConference articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

An algorithm for region-based moving object segmentation is presented in this paper. The gray-scale image segmentation based on the Mean Shift Algorithm (MSA) is performed first to segment each frame of a sequence into connective homogeneous regions. A method applying spatio-temporal continuity constrains of the motion vector image is then carried out to detect moving pixels robustly. Finally, each homogeneous region is labeled as either a moving-object region or a non-moving-object region according to the number of moving pixels it contains. Experimental results show that our algorithm is effective and robust in segmenting moving vehicle from noisy scenes.
Original languageEnglish
Pages (from-to)369-372
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
Publication statusPublished - 25 Sep 2003
Event2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
Duration: 6 Apr 200310 Apr 2003

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

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