Towards detection of moving cast shadows for visual traffic surveillance

G. S.K. Fung, N. H.C. Yung, G. K.H. Pang, A. H.S. Lai

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, an effective method for the detection of moving cast shadow for visual traffic surveillance is proposed. Based on the cast shadow observations in luminance, chrominance, gradient density and geometry domains, a combined probability map, called shadow confidence score, of the region belonging to the shadow is deduced. The object region is then separated from its shadow according to the score. The proposed method has been further tested on images taken under different lighting conditions (sunny and cloudy), viewing angles (roadside and overhead), and vehicle sizes (small, medium and large).

Original languageEnglish (US)
Pages (from-to)2505-2510
Number of pages6
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume4
StatePublished - Dec 1 2001
Event2001 IEEE International Conference on Systems, Man and Cybernetics - Tucson, AZ, United States
Duration: Oct 7 2001Oct 10 2001

Keywords

  • Image Segmentation
  • Image Sequence Analysis
  • Intelligent Transportation Systems
  • Shadow Detection
  • Visual Traffic Surveillance

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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