An efficient face parts detection technique for CCTV surveillance

The use of Closed-Circuit Television (CCTV) for surveillance is becoming important day by day. Human face detection is one of the key requirements for intelligent CCTV systems. There are numerous application areas in which face detection can be applied. In this paper, we propose a technique that performs detection of different facial parts such as Eye Pair, Nose and Mouth and can achieve fast, accurate detection that is robust to changes in illumination and background. The experimental results demonstrate the significant performance improvement using the proposed approach over other existing techniques. It can be seen that the proposed method is very efficient and has significant value in surveillance application.