Locating people in indoor scenes for real applications

Albert Pujol, Felipe Lumbreras, Xavier Varona, Juan José Villanueva

    Research output: Contribution to journalArticleResearchpeer-review

    5 Citations (Scopus)

    Abstract

    A real person description application needs as first step a robust process of people location. Locating people supposes to find out the subject position and extent. This paper presents a robust architecture for solving this problem in static images. The work presented combines in a probabilistic manner, information from background, skin and shape models. This method is being tested in a large set of images for a real application. © 2000 IEEE.
    Original languageEnglish
    Pages (from-to)632-635
    JournalProceedings - International Conference on Pattern Recognition
    Volume15
    Issue number4
    Publication statusPublished - 1 Dec 2000

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