Dynamic tracking system for object recognition

Zalili Binti Musa, Junzo Watada

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

    2 Citations (Scopus)

    Abstract

    The aim of this study is to construct a multi-camera tracking system which recognizes human motions beyond several video scenes. Generally, to recognize a single human motion is easier than to link several human motions. This is because several human motions move different directions, while a single human motion moves one direction in a certain period. Therefore, we need a system that is reliable to track of human motions in every frame. In this paper, a new method is proposed for a human tracking system in order to link human movements in different directions using foot step direction method. The detail outcome and result are discussed using experiments of the method in this paper.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages378-385
    Number of pages8
    Volume4694 LNAI
    EditionPART 3
    Publication statusPublished - 2007
    Event11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007 - Vietri sul Mare
    Duration: 2007 Sep 122007 Sep 14

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 3
    Volume4694 LNAI
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other11th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2007, and 17th Italian Workshop on Neural Networks, WIRN 2007
    CityVietri sul Mare
    Period07/9/1207/9/14

      Fingerprint

    Keywords

    • Biometric
    • Human tracking system
    • Location detection
    • Pattern recognition
    • Tracking system

    ASJC Scopus subject areas

    • Computer Science(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Theoretical Computer Science

    Cite this

    Musa, Z. B., & Watada, J. (2007). Dynamic tracking system for object recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 3 ed., Vol. 4694 LNAI, pp. 378-385). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4694 LNAI, No. PART 3).