Real-time Hardware Face Detection Based on Adaboost Algorithm
Guangda Su · Jisuanji gongcheng · 2008
This paper presents a hardware implementation of face detection system that can detect any number of faces with any size at any position in a 256×256 image, at a speed of 35 fps when the FPGA works at 70 MHz. The detection system can achieve a detection rate of 85% with a false alarm rate of 1.5×10-6. To achieve high speed face detection, three contributions are made in the hardware architecture: real-time hardware implementation of the calculations of integral image and integral squared image, deep pipeline architecture of weak classifier implementation, and parallel multi-memory organization.