ColorSpaceforSkinDetectionAReview.pptVIP

Color Space for Skin Detection – A Review Nikhil Rasiwasia Fondazione Graphitech, University of Trento, (TN) Italy Contents Papers under consideration Why to detect skin? Methods of Skin Detection Using Skin Color Advantages Issues with Color How exactly is the skin color modeled Different Color Models Comparison of different Color Models Results from [1] Results from [2] Another perspective – Results from [3] Conclusions Papers under consideration [1]Michael J Jones James R Rehg, “Statistical Color Models with Application to Skin Detection” [2]D.Zarit, “Comparison of five color models in skin pixel classification” [3]Albiol, “optimum color spaces for skin detection” Other papers [4]Min C. Shin “Does colorspace transformation make any difference on skin detection” [5]Vezhnevets, “A survey on Pixel-Based skin color detection techniques” Why to detect skin? Person Detection Face Detection and Face Tracking Hand Tracking for Gesture Recognition Robotic Control Other Human Computer Interaction A filter for pornographic content on the internet Other uses in video applications Methods of Skin Detection Pixel-Based Methods Classify each pixel as skin or non-skin individually, independently from its neighbors. Color Based Methods fall in this category Region Based Methods Try to take the spatial arrangement of skin pixels into account during the detection stage to enhance the methods performance. Additional knowledge in terms of texture etc are required Skin Color based methods - Advantages Allows fast processing Robust to geometric variations of the skin patterns Robust under partial occlusion Robust to resolution changes Eliminate the need of cumbersome tracking devices or artificially places color cues Experience suggests that human skin has a characteristic color, which is easily recognized by humans. Issues with skin color Are Skin and Non-skin colors seperable? Illumination changes over time. Skin tones vary dramatically within and across individua