Tracking interacting people

Stephen J. McKenna, Sumer Jabri, Zoran Duric, Harry Wechsler

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

    58 Citations (Scopus)

    Abstract

    A computer vision system for tracking multiple people in relatively unconstrained environments is described. Tracking is performed at three levels of abstraction: regions, people and groups. A novel, adaptive background subtraction method that combines colour and gradient information is used to cope with shadows and unreliable colour cues. People are tracked through mutual occlusions as they form groups and part from one another. Strong use is made of colour information to disambiguate occlusions and to provide qualitative estimates of depth ordering and position during occlusion. Some simple interactions with objects can also be detected. The system is tested using indoor and outdoor sequences. It is robust and should provide a useful mechanism for bootstrapping and reinitialisation of tracking using more-specific but less-robust human models
    Original languageEnglish
    Title of host publicationFourth IEEE International Conference on Automatic Face and Gesture Recognition
    Subtitle of host publicationproceedings
    Place of PublicationLos Alamitos, Calif.
    PublisherIEEE
    Pages348 - 353
    Number of pages6
    ISBN (Print)0769505805
    DOIs
    Publication statusPublished - 2000
    EventFourth IEEE International Conference on Automatic Face and Gesture Recognition - Grenoble, France
    Duration: 28 Mar 200030 Mar 2000

    Conference

    ConferenceFourth IEEE International Conference on Automatic Face and Gesture Recognition
    CountryFrance
    CityGrenoble
    Period28/03/0030/03/00

      Fingerprint

    Cite this

    McKenna, S. J., Jabri, S., Duric, Z., & Wechsler, H. (2000). Tracking interacting people. In Fourth IEEE International Conference on Automatic Face and Gesture Recognition : proceedings (pp. 348 - 353). IEEE. https://doi.org/10.1109/AFGR.2000.840658