A mobile camera tracking system using GbLN-PSO with an adaptive window

Zalili Musa, Rohani Abu Bakar, Junzo Watada

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The availability of high quality and inexpensive video camera, as well as the increasing need for automated video analysis is leading towards a great deal of interest in numerous applications. However the video tracking systems is still having many open problems. Thus, some of research activities in a video tracking system are still being explored. Generally, most of the researchers are used a static camera in order to track an object motion. However, the use of a static camera system for detecting and tracking the motion of an object is only capable for capturing a limited view. Therefore, to overcome the above mentioned problem in a large view space, researcher may use several cameras to capture images. Thus, the cost will increases with the number of cameras. To overcome the cost increment a mobile camera is employed with the ability to track the wide field of view in an environment. Conversely, mobile camera technologies for tracking applications have faced several problems; simultaneous motion (when an object and camera are concurrently movable), distinguishing objects in occlusion, and dynamic changes in the background during data capture. In this study we propose a new method of Global best Local Neighborhood Oriented Particle Swarm Optimization (GbLN-PSO) to address these problems. The advantages of tracking using GbLN-PSO are demonstrated in experiments for intelligent human and vehicle tracking systems in comparison to a conventional method. The comparative study of the method is provided to evaluate its capabilities at the end of this paper.

    Original languageEnglish
    Title of host publicationProceedings - CIMSim 2011: 3rd International Conference on Computational Intelligence, Modelling and Simulation
    Pages259-264
    Number of pages6
    DOIs
    Publication statusPublished - 2011
    Event2nd International Conference on Computational Intelligence, Modelling and Simulation 2011, CIMSim 2011 - Langkawi
    Duration: 2011 Sep 202011 Sep 22

    Other

    Other2nd International Conference on Computational Intelligence, Modelling and Simulation 2011, CIMSim 2011
    CityLangkawi
    Period11/9/2011/9/22

    Keywords

    • an adaptive window
    • Dynamic tracking
    • mobile camera
    • particle swarm optimization
    • pattern matching

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computational Theory and Mathematics
    • Modelling and Simulation

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  • Cite this

    Musa, Z., Bakar, R. A., & Watada, J. (2011). A mobile camera tracking system using GbLN-PSO with an adaptive window. In Proceedings - CIMSim 2011: 3rd International Conference on Computational Intelligence, Modelling and Simulation (pp. 259-264). [6076367] https://doi.org/10.1109/CIMSim.2011.53