Description: Face detection and tracking is an important and active research field, and it has a wide range of applications in video surveillance, biometrics, video coding and other fields. The goal of the project is to implement real-time systems on the FPGA board to detect and track faces. Face detection algorithms include skin segmentation and image filtering. The location of the human face is determined by calculating the centroid of the detected region. The software version of the algorithm is implemented independently and tested on MATLAB still images. Although the conversion from MATLAB to Verilog is not as smooth as expected, the experimental results demonstrate the accuracy and effectiveness of real-time systems, even in different light, facial gestures and color conditions. All hardware implementations are performed in real-time with minimal computational complexity and are therefore suitable for power constrained applications.
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tnn7_meng_project_face_detection\archive
tnn7_meng_project_face_detection\archive\face_detection.qar
tnn7_meng_project_face_detection\archive\face_detection.qarlog
tnn7_meng_project_face_detection\matlab
tnn7_meng_project_face_detection\matlab\face_detection.m
tnn7_meng_project_face_detection\verilog
tnn7_meng_project_face_detection\verilog\DE2_TV.v
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