High-speed skin color segmentation for real-time human tracking

This paper proposes an original low-complex image classification technique for fast skin color segmentation proper for human face and limbs tracking. Experimental results demonstrate promising performance achievements compared to other existing skin color segmentation methods. Furthermore, the simplicity of this method is an attractive feature for real-time applications. The proposed method is independent of skin distribution shape and unlike the majority of techniques does not require exhaustive training.