ISSN 1002-1027  CN 11-2952/G2

Acta scientiarum naturalium Universitatis Pekinensis

Previous Articles     Next Articles

Automatic Segmentation of Moving Objects for Head-shoulder Video Sequence

LUO Tao   

  1. Courage Image Processing Lab, Mathematical School, Peking University, Beijing,100871
  • Received:1999-11-16 Online:2000-09-20 Published:2000-09-20

Abstract: Introducing and comparing the difference within the conception of area segmentation, motion segmentation and moving object segmentation (VOP extraction), and their application in content-based video sequence image coding. Analysis the relationship between the frame difference image and its relative frame gray level image. Then a new automatic moving object edge tracking and extracting method, based on the high correlation between the edge of frame difference and the edge of gray level image,was proposed. Using the close of moving object edge to get the real moving object.