Face detection plays a significant role in many applications, such as video surveillance, gender classification, and facial recognition. In this paper, we propose a new face detection method based on multi-scale histograms. The proposed method uses a multi-scale histogram to represent a face, thereby improving computational efficiency, and making the process suitable for big-data multimedia databases. The experimental results show that the proposed method can achieve accuracy rates similar to the LBP-based method, but at a speed over 10 times more quickly when the block size is properly set.
The Second IEEE International Conference on Multimedia Big Data