Main Mobile Object Detection and Localization in Video Sequences

  • Gabriel Tsechpenakis
  • Yiannis Xirouhakis
  • Anastasios Delopoulos
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1929)


Main mobile object detection and localization is a task of major importance in the fields of video understanding, object-based coding and numerous related applications, such as content-based retrieval, remote surveillance and object recognition. The present work revisits the algorithm proposed in [13] for mobile object localization in both indoor and outdoor sequences when either a static or a mobile camera is utilized. The proposed approach greatly improves the trade-off between accuracy and time-performance leading to satisfactory results with a considerably low amount of computations. Moreover, based on the point gatherings extracted in [13], the bounding polygon and the direction of movement are estimated for each mobile object; thus yielding an adequate representation in the MPEG-7 sense. Experimental results over a number of distinct natural sequences have been included to illustrate the performance of the proposed approach.


Video Sequence Motion Estimation Edge Pixel Successive Frame Mobile Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Gabriel Tsechpenakis
    • 1
  • Yiannis Xirouhakis
    • 1
  • Anastasios Delopoulos
    • 1
  1. 1.Image, Video and Multimedia Systems Laboratory,Dept. of Electrical and Computer Eng.National Technical University of Athens,Zographou CampusAthensGreece

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