This is the authors' abstract. We don't add key points for this paper.
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.
Answers are grounded in this paper and cite their sources.
No takes yet. Share an insight, caveat, or question.
Kjeldsen et al. (2002) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: