Locating people in indoor scenes for real applications

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

Locating people in indoor scenes for real applications

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

Research output: Contribution to journal › Article › Research › peer-review

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 language	English
Pages (from-to)	632-635
Journal	Proceedings - International Conference on Pattern Recognition
Volume	15
Issue number	4
Publication status	Published - 1 Dec 2000

Cite this

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title = "Locating people in indoor scenes for real applications",

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. {\textcopyright} 2000 IEEE.",

author = "Albert Pujol and Felipe Lumbreras and Xavier Varona and Villanueva, {Juan Jos{\'e}}",

year = "2000",

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AU - Pujol, Albert

AU - Lumbreras, Felipe

AU - Varona, Xavier

AU - Villanueva, Juan José

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N2 - 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.

AB - 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.

M3 - Article

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EP - 635

JO - Proceedings - International Conference on Pattern Recognition

JF - Proceedings - International Conference on Pattern Recognition

IS - 4

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Locating people in indoor scenes for real applications

Abstract

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