关键词: 人脸检测, ZYNQ, 肤色分割, 软硬件协同设计, 感知哈希

Abstract:

Aiming at the problem of poor real-time performance of most embedded face detection systems, the optimized face detection algorithm and software/hardware cooperative processing method are used to accelerate the face detection. Based on the ZYNQ SoC architecture, the YCbCr skin color space algorithm is used to accelerate the skin color region in the FPGA part, and then the optimized Adaboost algorithm and the Phash algorithm are used to complete the face detection and tracking in the dual-core ARM. It outputs the detected face. Experiments show that the proposed optimized face detection algorithm is more efficient than the traditional Adaboost face detection algorithm, and the reasonable hardware and software co-processing can not only speed up the face detection rate, but also reduce the system hardware resource consumption and cost.

Key words: face detection, ZYNQ, skin color segmentation, synergetic processing of hardware and software, perceptual Hash algorithm