A New Outdoor Object Tracking Approach in Video Surveillance

  • SoonWhan Kim
  • Jin-Shig Kang
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 268)


In this paper, a modified expansion-contraction algorithm of mobile object tracking for outdoor environment is studied. Object tracking in an outdoor environment is different from indoor, and modification of the algorithm is required. A new method of object extraction and a new background updating algorithm is presented. These two methods are minimizing the effects of changes of lighting conditions. Nevertheless, the basic algorithm using expansion-contraction of object window is maintained, and moving objects can be tracked efficiently through simple operation. To show the effectiveness of the proposed algorithm, several experiments were performed on a variety of scenarios, and three of them are includes in this paper. Performance of the proposed algorithm is maintained with dramatic changed in lighting conditions.


object tracking mobile object tracking video surveillance expansion-contraction algorithm 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Dept. of Tele-Communication Eng.Jeju National UniversityJeju CitySouth Korea

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