Multi-camera tracking system in a large area case

Zalili Binti Musa, Junzo Watada

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

    1 Citation (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 publicationIEEE International Conference on Fuzzy Systems
    Pages1959-1964
    Number of pages6
    DOIs
    Publication statusPublished - 2009
    Event2009 IEEE International Conference on Fuzzy Systems - Jeju Island
    Duration: 2009 Aug 202009 Aug 24

    Other

    Other2009 IEEE International Conference on Fuzzy Systems
    CityJeju Island
    Period09/8/2009/8/24

    Fingerprint

    Tracking System
    Robotics
    Camera
    Cameras
    Monitoring
    Particle Filter
    Comparative Study
    Motion
    Prediction
    Range of data

    ASJC Scopus subject areas

    • Software
    • Artificial Intelligence
    • Applied Mathematics
    • Theoretical Computer Science

    Cite this

    Musa, Z. B., & Watada, J. (2009). Multi-camera tracking system in a large area case. In IEEE International Conference on Fuzzy Systems (pp. 1959-1964). [5277294] https://doi.org/10.1109/FUZZY.2009.5277294

    Multi-camera tracking system in a large area case. / Musa, Zalili Binti; Watada, Junzo.

    IEEE International Conference on Fuzzy Systems. 2009. p. 1959-1964 5277294.

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

    Musa, ZB & Watada, J 2009, Multi-camera tracking system in a large area case. in IEEE International Conference on Fuzzy Systems., 5277294, pp. 1959-1964, 2009 IEEE International Conference on Fuzzy Systems, Jeju Island, 09/8/20. https://doi.org/10.1109/FUZZY.2009.5277294
    Musa ZB, Watada J. Multi-camera tracking system in a large area case. In IEEE International Conference on Fuzzy Systems. 2009. p. 1959-1964. 5277294 https://doi.org/10.1109/FUZZY.2009.5277294
    Musa, Zalili Binti ; Watada, Junzo. / Multi-camera tracking system in a large area case. IEEE International Conference on Fuzzy Systems. 2009. pp. 1959-1964
    @inproceedings{902ab573bf1645eaba63535b46718fba,
    title = "Multi-camera tracking system in a large area case",
    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.",
    author = "Musa, {Zalili Binti} and Junzo Watada",
    year = "2009",
    doi = "10.1109/FUZZY.2009.5277294",
    language = "English",
    isbn = "9781424435975",
    pages = "1959--1964",
    booktitle = "IEEE International Conference on Fuzzy Systems",

    }

    TY - GEN

    T1 - Multi-camera tracking system in a large area case

    AU - Musa, Zalili Binti

    AU - Watada, Junzo

    PY - 2009

    Y1 - 2009

    N2 - 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.

    AB - 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.

    UR - http://www.scopus.com/inward/record.url?scp=71249102308&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=71249102308&partnerID=8YFLogxK

    U2 - 10.1109/FUZZY.2009.5277294

    DO - 10.1109/FUZZY.2009.5277294

    M3 - Conference contribution

    AN - SCOPUS:71249102308

    SN - 9781424435975

    SP - 1959

    EP - 1964

    BT - IEEE International Conference on Fuzzy Systems

    ER -