• DocumentCode
    3072964
  • Title

    Multi-objects Tracking System Using Adaptive Background Reconstruction Technique and Its Application to Traffic Parameters Extraction

  • Author

    Lin, Chin-Teng ; Huang, Yu-Chen ; Mei, Ting-Wei ; Pu, Her-Chang ; Hong, Chao-Ting

  • Author_Institution
    Nat. Chiao-Tung Univ., Hsin-Chu
  • Volume
    3
  • fYear
    2006
  • fDate
    8-11 Oct. 2006
  • Firstpage
    2057
  • Lastpage
    2062
  • Abstract
    In this paper, we present a real-time multi-objects tracking system which can detect various types of moving objects in image sequences of traffic video obtained from a stationary video camera. Using the adaptive background reconstruction technique can effectively handle with environmental changes and obtain good results of objects extraction. Besides, we introduce a robust region-and feature-based tracking algorithm with plentiful features to track correct objects continuously. After tracking objects successfully, we can analyze the tracked objects´ properties and recognize their behavior for extracting some useful traffic parameters. According to the structure of our proposed algorithms, we implemented a tracking system including the functions of objects classification and accident prediction. Experiments were conducted on real-life traffic video of some intersection and testing datasets of other surveillance research. The results proved the algorithms we proposed achieved robust segmentation of moving objects and successful tracking with objects occlusion or splitting events. The implemented system also extracted useful traffic parameters.
  • Keywords
    feature extraction; image reconstruction; image segmentation; image sequences; object detection; road traffic; traffic engineering computing; video cameras; video signal processing; video surveillance; adaptive background reconstruction technique; feature-based tracking algorithm; image sequence; moving object detection; moving object segmentation; multiobject tracking system; region-based tracking algorithm; stationary video camera; surveillance research; testing datasets; traffic parameter extraction; traffic video; Accidents; Adaptive systems; Cameras; Image reconstruction; Image sequences; Object detection; Parameter extraction; Real time systems; Robustness; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    1-4244-0099-6
  • Electronic_ISBN
    1-4244-0100-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2006.385163
  • Filename
    4274169