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Adaptive search window for object tracking in the crowds using undecimated wavelet packet features

Khansari, M ; Sharif University of Technology | 2006

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  1. Type of Document: Article
  2. DOI: 10.1109/WAC.2006.375926
  3. Publisher: IEEE Computer Society , 2006
  4. Abstract:
  5. In this paper, we propose an adaptive object tracking algorithm in crowded scenes. The amplitudes of of Undecimated Wavelet Packet Tree coefficients for some selected pixels at the object border are used to create a Feature Vector (FV) corresponding to that pixel. The algorithm uses these FVs to track the pixels of small square blocks located at the vicinity of the object boundary. The search window is adapted through the use of texture information of the scene by finding the direction and speed of the object motion. Experimental results show a good object tracking performance in crowds that include object translation, rotation, scaling and partial occlusion. Copyright - World Automation Congress (WAC) 2006
  6. Keywords:
  7. Adaptive systems ; Decision trees ; Feature extraction ; Pixels ; Wavelet transforms ; Crowded scenes ; Motion direction ; Object tracking ; Texture analysis ; Undecimated wavelet packet transforms ; Target tracking
  8. Source: 2006 World Automation Congress, WAC'06, Budapest, 24 June 2006 through 26 June 2006 ; 2006 ; 1889335339 (ISBN); 9781889335339 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4259842