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
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;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.902998