An Improved Method for Detection of Moving Objects in Image Sequences Using Statistical Hypothesis Tests

  • Park, Jae-Gark (Electronics and Telecommunications Research Institute Taejon) ;
  • Kim, Munchurl (Electronics and Telecommunications Research Institute Taejon) ;
  • Lee, Myoung-Ho (Electronics and Telecommunications Research Institute Taejon) ;
  • Ahn, Chei-Teuk (Electronics and Telecommunications Research Institute Taejon)
  • Published : 1998.06.01

Abstract

This paper resents a spatio-temporal video segmentation method. The algorithm segments each frame of video sequences captured by a static or moving camera into moving objects (foreground) and background using a statistical hypothesis test. In the proposed method, three consecutive image frames are exploited and a hypothesis testing is performed by comparing two means from two consecutive difference images, which results in a T-test. This hypothesis test yields change detection mask that indicates moving areas (foreground) and non-moving areas (background). Moreover, an effective method for extracting object mask form change detection mask is proposed.

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