An algorithm for segmenting moving vehicles

S. Zhang, H. Chen, Zheru Chi, P. Shi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

An algorithm for region-based moving object segmentation is presented. The gray-scale image segmentation based on the mean shift algorithm (MSA) is first performed to segment each frame of a sequence into connective homogeneous regions. A method applying spatio-temporal continuity constraints 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 vehicles from noisy scenes.
Original languageEnglish
Title of host publication2003 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings : April 6-10, 2003, Hong Kong Exhibition and Convention Centre, Hong Kong
PublisherIEEE
PagesIII369-III372
Number of pages1
ISBN (Print)0780376633
DOIs
Publication statusPublished - 2003

Publication series

NameIEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings
Volume3
ISSN (Print)1520-6149

Keywords

  • Image motion analysis
  • Image segmentation
  • Image sequences
  • Object detection
  • Road vehicles
  • Video signal processing

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