Hardware Implementation Of Face Detection And Location

Face detection and location is an important step of face recognition process. The emphasis of my dissertation is to design and implement a hardware system of face detection and location based on DSP, which realizes the real-time face detection and location from the dynamic video shot by camera, and gives the region of human face for recognition. This system acts as a sub-system of dynamic face recognition, and serves for the following recognition. It plays an important role in improving the performance of the whole system.It costs much time to realize the face detection and location in face recognition systems using traditional software processing, which results in the low performance of real-time processing and limits the advanced algorithm development. So, my task focuses on the research of speeding the image processing, realizing the real-time face detection and location with high-speed hardware.This project completes the hardware/software development and integration of image acquisition and face detection, the two parts of the system. 1:1 mode image acquisition card based on PCI bus realizes the image acquisition in 1:1 mode, which solves the geometric distortion of digital images in traditional image acquisition. It helps to improve the accuracy of face detection and location. 1:1 mode image acquisition card, as the data acquisition part of the whole system, is used to display the video shot by camera in real time, and to provide image data to the face detection and location part. Hardware face detection and location card with TMS320C6201B as its core processing unit realizes the hardware face detection and location in real time, using the high-speed processing capability of DSP. The integrated system transplants the algorithm of face detection to DSP successfully. The processing time per frame is below 30ms, realizing the real-time face detection and location.Furthermore, the research and development of multi-channel parallel hardware face detection and location are also made in this project. Multi-channel parallel face detection system can realize real-time detection simultaneously with multi-camera inputs. It improves the performance of the system by several times and reduces the size and cost.