Multi-camera tracking mehtod based on particle filtering

Zalili Binti Musa, Junzo Watada, Huiming Zhang

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

    2 Citations (Scopus)

    Abstract

    A video tracking system raises a wide range of possibilities in today's society, particularly in security, monitoring, and robotics. The most important research in tracking systems is to discover and develop an available method and algorithm for tracking an object's motion. The objective of this paper is to propose a new method that combines a prediction method and particle filter to manage problems in a wide area of observation. The comparative study of the method is provided and its capabilities are evaluated.

    Original languageEnglish
    Title of host publication2010 World Automation Congress, WAC 2010
    Publication statusPublished - 2010
    Event2010 World Automation Congress, WAC 2010 - Kobe
    Duration: 2010 Sep 192010 Sep 23

    Other

    Other2010 World Automation Congress, WAC 2010
    CityKobe
    Period10/9/1910/9/23

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    Keywords

    • Human tracking
    • Large area
    • Multi-camera
    • Particle filter
    • Tracking system

    ASJC Scopus subject areas

    • Control and Systems Engineering

    Cite this

    Musa, Z. B., Watada, J., & Zhang, H. (2010). Multi-camera tracking mehtod based on particle filtering. In 2010 World Automation Congress, WAC 2010 [5665444]