Motion tracking using particle filter

Zalili Binti Musa, Junzo Watada

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

    5 Citations (Scopus)

    Abstract

    Video tracking system raises a wide possibility in today's society. This system is used in various applications such as security, monitoring, robotic, and nowadays in day-to-day applications. However the video tracking systems still have many open problems and various research activities in a video tracking system are explored. In this study, we have developed a prototype to track a bounce ball movement. Generally, the movement of a bounce ball is fast and the sizes of objects are different regarding on camera view. Therefore, the aim of this study is to construct a motion tracking for an object movement using a particle filter formula. Where, at the end of this paper, the detail outcome and result are discussed using experiments of this method.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages119-126
    Number of pages8
    Volume5179 LNAI
    EditionPART 3
    DOIs
    Publication statusPublished - 2008
    Event12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008 - Zagreb
    Duration: 2008 Sep 32008 Sep 5

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 3
    Volume5179 LNAI
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other12th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2008
    CityZagreb
    Period08/9/308/9/5

    Keywords

    • Condesation
    • Kalman filter
    • Object movement
    • Particle filter
    • Tracking system

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

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  • Cite this

    Musa, Z. B., & Watada, J. (2008). Motion tracking using particle filter. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 3 ed., Vol. 5179 LNAI, pp. 119-126). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5179 LNAI, No. PART 3). https://doi.org/10.1007/978-3-540-85567-5-16