Human tracking: A state-of-art survey

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

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

    12 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages454-463
    Number of pages10
    Volume6277 LNAI
    EditionPART 2
    DOIs
    Publication statusPublished - 2010
    Event14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010 - Cardiff
    Duration: 2010 Sep 82010 Sep 10

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 2
    Volume6277 LNAI
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2010
    CityCardiff
    Period10/9/810/9/10

    Fingerprint

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

    Keywords

    • Human tracking
    • Object tracking
    • Video tracking

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Watada, J., Musa, Z., Jain, L. C., & Fulcher, J. (2010). Human tracking: A state-of-art survey. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 6277 LNAI, pp. 454-463). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6277 LNAI, No. 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). Vol. 6277 LNAI PART 2. ed. 2010. p. 454-463 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6277 LNAI, No. PART 2).

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

    Watada, J, Musa, Z, Jain, LC & Fulcher, J 2010, Human tracking: A state-of-art survey. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 6277 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 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. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 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). Vol. 6277 LNAI PART 2. ed. 2010. pp. 454-463 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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