Moving Object Tracking using Cumulative Similarity Transform

누적 유사도 변환을 이용한 물체 추적

  • Published : 2003.03.01


In this paper, an object tracking system in a known environment is proposed. It extracts moving area shaped on objects in video sequences and decides tracks of moving objects. Color invarianoe features are exploited to extract the plausible object blocks and the degree of radial homogeneity, which is utilized as local block feature to find out the block correspondences. The experimental results are given.