Abstract: Auto human face detection from video sequences is the base of studies for human face recognition and track- ing. This paper proposed an efficient and robust method to detect face in vido sequences. The key step of this work is to use the technique of image enhancement to alleviate the impact of human face detection caused by variation illumination such as local shadow and highlight The approach firstly strengthens the edge and detail information of images by means of high-frequency enhanced filtering and uses histogram-based technictue to adjust the brightness of the image,then ap- plies the Gabor wavclet to extract features of images,finally trains samples using the adaboost algorithm and complete face detection. The experimental results show that the approach can detect human face accurately under different light- ing conditions.

Key words: Face detection, Image enhancement, Illumination compensation, Gabor wavelet, Adaboost