A parallel architecture for hardware face detection

Face detection is a very important application in the field of machine vision. In this paper, we present a scalable parallel architecture which performs face detection using the AdaBoost algorithm. Experimental results show that the proposed architecture can detect faces with the same accuracy as the software implementation, on real-time video at a frame rate of 52 frames per second