Vision-based human motion analysis: An overview

Ronald Walter Poppe

    Research output: Contribution to journalArticleAcademicpeer-review

    658 Citations (Scopus)


    Markerless vision-based human motion analysis has the potential to provide an inexpensive, non-obtrusive solution for the estimation of body poses. The significant research effort in this domain has been motivated by the fact that many application areas, including surveillance, Human-Computer Interaction and automatic annotation, will benefit from a robust solution. In this paper, we discuss the characteristics of human motion analysis. We divide the analysis into a modeling and an estimation phase. Modeling is the construction of the likelihood function, estimation is concerned with finding the most likely pose given the likelihood surface. We discuss model-free approaches separately. This taxonomy allows us to highlight trends in the domain and to point out limitations of the current state of the art.
    Original languageUndefined
    Article number10.1016/j.cviu.2006.10.016
    Pages (from-to)4-18
    Number of pages15
    JournalComputer vision and image understanding
    Issue numberLNCS4549/1-2
    Publication statusPublished - Oct 2007


    • HMI-HF: Human Factors
    • HMI-CI: Computational Intelligence
    • EWI-11047
    • METIS-241905
    • IR-61911
    • HMI-VRG: Virtual Reality and Graphics
    • EC Grant Agreement nr.: FP6/033812

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