Face Protection of H.264 Video Based on Detecting and Tracking

With more and more attention on security in video, people have proposed many video encryption algorithms and many of them have been put into application. However, these algorithms encrypt the whole frame, they don´t consider regions of interest, this will increase the communication cost. In this paper, we proposed a safe protection scheme of interesting facial region. This approach included rough face detection based on skin-color model, accurate facial region location based on Bayes classifier depending on direction character convolved by Sobel filter, tracking based on Kalman filter and encrypt face region in CABAC coding. Experimental results showed that this approach has better quality of anti-attack and protect interesting facial region effectively.