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• [P744] Moving Multi-Object Tracking Algorithm Based on Wavelet Clustering and Frame Difference
  Author(s): Li Zeng, Lida Xu
  
  

  Abstract
  The paper presents an approach to motion objects tracking by combining parallel wavelet clustering with frame difference, which satisfies certain requirements of rapid moving objects detection. By utilizing multi-resolution property of wavelet clustering analysis based on adjacent frame difference results, we can identify arbitrary shape moving objects at different degree of accuracy. Experiment results show that good accuracy of proposed algorithm can be obtained at speeds close to real-time. Applications in real world are also presented which further demonstrated the efficiency and effectiveness of the proposed method.

  
   

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