DocumentCode :
1742827
Title :
Detecting and tracking human faces in videos
Author :
Li, Yadong ; Goshtasby, Ardeshir ; Garcia, Oscar
Author_Institution :
Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
807
Abstract :
A method for detecting and tracking human faces in color videos is presented. The method first uses a chroma chart with information about skin colors of various races to determine regions of skin color in the first frame of a video. A new chroma chart is computed for each region, which more precisely represents the colour contents of that region. Chroma charts for different regions that are similar are combined, while those that are considerably different are kept separate. Model facial patterns are then used to detect faces within the skin regions. Once a face is detected, the particular pattern and color of the face are used to track the face. Regions where facial patterns are not detected are expected to correspond to exposed parts of the body or of the background and are ignored. The proposed method can track faces with a high degree of accuracy once they are identified
Keywords :
image colour analysis; image motion analysis; image segmentation; image sequences; video signal processing; chroma chart; color videos; colour contents; human faces; model facial patterns; skin colors; Biological system modeling; Color; Computer science; Face detection; Humans; Robustness; Skin; Technological innovation; Tracking; Videos;
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.2000.905528
Filename :
905528
Link To Document :
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