DocumentCode
1742157
Title
Locating people in indoor scenes for real applications
Author
Pujol, Albert ; Lumbreras, Felipe ; Varona, Xavier ; Villanueva, Juan José
Author_Institution
Dept. d´´Inf., Univ. Autonoma de Barcelona, Spain
Volume
4
fYear
2000
fDate
2000
Firstpage
632
Abstract
A real person description application needs, as a first step, a robust process of people location. To locate people it is required to find out the subject´s 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 has been tested in a large set of images for a real application
Keywords
computer vision; image colour analysis; image segmentation; object recognition; statistical analysis; background information; computer vision; image segmentation; indoor scenes; people location; shape model; skin color model; statistical model; Application software; Biological system modeling; Computer vision; Humans; Image segmentation; Layout; Pixel; Robustness; Shape; Skin;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.902998
Filename
902998
Link To Document