Efficient real-time face detection for high resolution surveillance applications

Xin Cheng, Ruan Lakemond, Clinton Fookes, Sridha Sridharan
2012 2012 6th International Conference on Signal Processing and Communication Systems  
This paper presents an efficient face detection method suitable for real-time surveillance applications. Improved efficiency is achieved by constraining the search window of an AdaBoost face detector to pre-selected regions. Firstly, the proposed method takes a sparse grid of sample pixels from the image to reduce whole image scan time. A fusion of foreground segmentation and skin colour segmentation is then used to select candidate face regions. Finally, a classifier-based face detector is
more » ... ied only to selected regions to verify the presence of a face (the Viola-Jones detector is used in this paper). The proposed system is evaluated using 640 × 480 pixels test images and compared with other relevant methods. Experimental results show that the proposed method reduces the detection time to 42 ms, where the Viola-Jones detector alone requires 565 ms (on a desktop processor). This improvement makes the face detector suitable for real-time applications. Furthermore, the proposed method requires 50% of the computation time of the best competing method, while reducing the false positive rate by 3.2% and maintaining the same hit rate.
doi:10.1109/icspcs.2012.6508005 dblp:conf/icspcs/ChengLFS12 fatcat:ysr6py35hjaevpmlnuvq2cwpoy