Skin Color Detection for Real Time Mobile Applications

In the last decade, skin color has proven to be a useful cue for recognition and tracking of face and hand, and skin color segmentation has become the first step in several processing tasks. With the aim of overcoming the weak points that existing software solutions show in real time mobile applications, we propose an FPGA-based implementation of a skin classifier. The skin classification algorithm and its hardware architecture are herein described. Results in terms of classification performance, processing rate and hardware resources used are presented.