Abstract:

Because of the influence of complex image background, illumination changes, facial rotation and some other factors, face detection in complex background is much more difficult, lower accuracy and slower speed. Adaboost algorithm was used for face detection, and the test process in OpenCV was implemented. Face detection experiments were performed on images with facial rotation and complex background. The detection accuracy rate was 85% and 99% respectively, the average detection time of each picture was 16.67 ms and 76 ms. Experimental results show that the face detection algorithm can accurately and quickly realize face detectionin in complex background, and can satisfy the requirements of real-time face recognition system.

Key words: complex background, face detection, Adaboost algorithm, OpenCV