Human tracking: A state-of-art survey

Junzo Watada, Zalili Musa, Lakhmi C. Jain, John Fulcher

    研究成果: Conference contribution

    12 引用 (Scopus)

    抄録

    Video tracking can be defined as an action which can estimate the trajectory of an object in the image plane as it moves within a scene. A tracker assigns consistent labels to the tracked objects in different frames of a video. The objective of this paper is to provide information on the present state of the art and to discuss future trends in the use of multi-camera tracking systems. In the literature, three main types of multi-camera tracking system have been outlined. The first type relies on challenges in the camera tracking system. The second concerns the methodology of tracking systems in general. The third type relies on current trends in camera tracking systems. We provide an overview of the current research status by summarizing promising avenues for further research.

    元の言語English
    ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ページ454-463
    ページ数10
    6277 LNAI
    エディションPART 2
    DOI
    出版物ステータスPublished - 2010
    イベント14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010 - Cardiff
    継続期間: 2010 9 82010 9 10

    出版物シリーズ

    名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    番号PART 2
    6277 LNAI
    ISSN(印刷物)03029743
    ISSN(電子版)16113349

    Other

    Other14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010
    Cardiff
    期間10/9/810/9/10

    Fingerprint

    Tracking System
    Cameras
    Camera
    Labels
    Trajectories
    Assign
    Human
    Trajectory
    Methodology
    Estimate
    Trends
    Object

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    これを引用

    Watada, J., Musa, Z., Jain, L. C., & Fulcher, J. (2010). Human tracking: A state-of-art survey. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 版, 巻 6277 LNAI, pp. 454-463). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 6277 LNAI, 番号 PART 2). https://doi.org/10.1007/978-3-642-15390-7_47

    Human tracking : A state-of-art survey. / Watada, Junzo; Musa, Zalili; Jain, Lakhmi C.; Fulcher, John.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 6277 LNAI PART 2. 編 2010. p. 454-463 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻 6277 LNAI, 番号 PART 2).

    研究成果: Conference contribution

    Watada, J, Musa, Z, Jain, LC & Fulcher, J 2010, Human tracking: A state-of-art survey. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 Edn, 巻. 6277 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 番号 PART 2, 巻. 6277 LNAI, pp. 454-463, 14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010, Cardiff, 10/9/8. https://doi.org/10.1007/978-3-642-15390-7_47
    Watada J, Musa Z, Jain LC, Fulcher J. Human tracking: A state-of-art survey. : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 版 巻 6277 LNAI. 2010. p. 454-463. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-15390-7_47
    Watada, Junzo ; Musa, Zalili ; Jain, Lakhmi C. ; Fulcher, John. / Human tracking : A state-of-art survey. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 巻 6277 LNAI PART 2. 版 2010. pp. 454-463 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
    @inproceedings{2e38b80b8b084d6c9a48f1e20c3d9335,
    title = "Human tracking: A state-of-art survey",
    abstract = "Video tracking can be defined as an action which can estimate the trajectory of an object in the image plane as it moves within a scene. A tracker assigns consistent labels to the tracked objects in different frames of a video. The objective of this paper is to provide information on the present state of the art and to discuss future trends in the use of multi-camera tracking systems. In the literature, three main types of multi-camera tracking system have been outlined. The first type relies on challenges in the camera tracking system. The second concerns the methodology of tracking systems in general. The third type relies on current trends in camera tracking systems. We provide an overview of the current research status by summarizing promising avenues for further research.",
    keywords = "Human tracking, Object tracking, Video tracking",
    author = "Junzo Watada and Zalili Musa and Jain, {Lakhmi C.} and John Fulcher",
    year = "2010",
    doi = "10.1007/978-3-642-15390-7_47",
    language = "English",
    isbn = "3642153895",
    volume = "6277 LNAI",
    series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
    number = "PART 2",
    pages = "454--463",
    booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
    edition = "PART 2",

    }

    TY - GEN

    T1 - Human tracking

    T2 - A state-of-art survey

    AU - Watada, Junzo

    AU - Musa, Zalili

    AU - Jain, Lakhmi C.

    AU - Fulcher, John

    PY - 2010

    Y1 - 2010

    N2 - Video tracking can be defined as an action which can estimate the trajectory of an object in the image plane as it moves within a scene. A tracker assigns consistent labels to the tracked objects in different frames of a video. The objective of this paper is to provide information on the present state of the art and to discuss future trends in the use of multi-camera tracking systems. In the literature, three main types of multi-camera tracking system have been outlined. The first type relies on challenges in the camera tracking system. The second concerns the methodology of tracking systems in general. The third type relies on current trends in camera tracking systems. We provide an overview of the current research status by summarizing promising avenues for further research.

    AB - Video tracking can be defined as an action which can estimate the trajectory of an object in the image plane as it moves within a scene. A tracker assigns consistent labels to the tracked objects in different frames of a video. The objective of this paper is to provide information on the present state of the art and to discuss future trends in the use of multi-camera tracking systems. In the literature, three main types of multi-camera tracking system have been outlined. The first type relies on challenges in the camera tracking system. The second concerns the methodology of tracking systems in general. The third type relies on current trends in camera tracking systems. We provide an overview of the current research status by summarizing promising avenues for further research.

    KW - Human tracking

    KW - Object tracking

    KW - Video tracking

    UR - http://www.scopus.com/inward/record.url?scp=78449233995&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=78449233995&partnerID=8YFLogxK

    U2 - 10.1007/978-3-642-15390-7_47

    DO - 10.1007/978-3-642-15390-7_47

    M3 - Conference contribution

    AN - SCOPUS:78449233995

    SN - 3642153895

    SN - 9783642153891

    VL - 6277 LNAI

    T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    SP - 454

    EP - 463

    BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    ER -