Analyzing human interactions with a network of dynamic probabilistic models

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

    2 Citations (Scopus)

    Abstract

    In this paper, we propose a novel method for analyzing human interactions based on the walking trajectories of human subjects. Our principal assumption is that an interaction episode is composed of meaningful smaller unit interactions, which we call 'sub-interactions.' The whole interaction is represented by an ordered concatenation or a network of sub-interaction models. From the experiments, we could confirm the effectiveness and robustness of the proposed method by analyzing the internal work of an interaction network and comparing the performance with other previous approaches.

    Original languageEnglish
    Title of host publication2009 Workshop on Applications of Computer Vision, WACV 2009
    DOIs
    Publication statusPublished - 2009
    Event2009 Workshop on Applications of Computer Vision, WACV 2009 - Snowbird, UT, United States
    Duration: 2009 Dec 72009 Dec 8

    Publication series

    Name2009 Workshop on Applications of Computer Vision, WACV 2009

    Other

    Other2009 Workshop on Applications of Computer Vision, WACV 2009
    Country/TerritoryUnited States
    CitySnowbird, UT
    Period09/12/709/12/8

    ASJC Scopus subject areas

    • Computer Science Applications
    • Computer Vision and Pattern Recognition

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