Modified architecture for real-time face detection using FPGA

In this paper, we introduce modified hardware architecture with key features of lessening the resource usage of the FPGA and elevating the face detection frame rate. The system is based on well-known Viola Jones Framework which consists of AdaBoost algorithm integrated with Haar features. We also enlist the modification in hardware design techniques to achieve more parallel processing and higher detection speed of the system. The system implemented on Xilinx Virtex-5 FPGA development board outputs a high face detection rate (91.3%) at 60 frame/second for a VGA (640 × 480) video source. The power consumption of the implementation is 2.1 W.