Title :
Finding skin in color images
Author :
Kjeldsen, Rick ; Kender, John
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Abstract :
This paper describes the techniques used to separate the hand from a cluttered background in a gesture recognition system. Target colors are identified using a histogram-like structure called a Color Predicate, which is trained in real-time using a novel algorithm. Running on standard PC hardware, the segmentation is of sufficient speed and quality to support an interactive user interface. The method has shown its flexibility in a range of different office environments, segmenting users with many different skin-tones. Variations have been applied to other problems including finding face candidates in video sequences
Keywords :
computer vision; image colour analysis; image segmentation; interactive systems; office automation; real-time systems; skin; user interfaces; Color Predicate; cluttered background; color images; face candidates; gesture recognition system; hand detection; histogram-like structure; image segmentation; interactive user interface; office environments; personal computer; quality; real-time training; skin-tones; speed; video sequences; Application software; Cameras; Color; Face detection; Hardware; Image recognition; Image segmentation; Shape control; Skin; User interfaces;
Conference_Titel :
Automatic Face and Gesture Recognition, 1996., Proceedings of the Second International Conference on
Conference_Location :
Killington, VT
Print_ISBN :
0-8186-7713-9
DOI :
10.1109/AFGR.1996.557283