Hand Gesture Detection and Classification Using Boosted Classifier
Abdul Manan Ahmad, Sami M Halawani
Journal of Information Organization, Vol. 3, No. 3, 2013.
DOI: 
Link: http://www.dline.info/jio/fulltext/v3n3/1.pdf
Abstract:
There are many approaches to detect hand gestures. To narrow the search region, most existing methods construct fixed postures. However, under natural condition it is not realistic to make a user stick on a certain pose. In this paper a method to quickly detect hand shape quickly and robustly is experimented. Firstly, a skin color detector will be utilized to detect the presence of a hand in the image, then a set of image is clustered using k-mediod algorithm. Next, a tree structure of boosted cascades will be constructed. A general hand detector is provided by the main tree while the branches will classify valid shapes. Our experiments show a detection rate of 80% and from that 85% is achieved for recognition.