Face detection and tracking on FPGA 

Face detection and tracking has been an important and active research field because it
offers many applications, especially in video surveillance, biometrics, or video coding. The goal of this project was to implement a real-time system on an FPGA board to detect and track a human's face. The face detection algorithm involved color-based skin segmentation and image filtering. The face location was determined by calculating the centroid of the detected region. A software version of the algorithm was independently implemented and tested on still pictures in MATLAB. Although the transition from MATLAB to Verilog was not as smooth as expected, experimental results proved the accuracy and effectiveness of the real-time system, even under varying conditions of lights, facial poses and skin colors. All calculation of the hardware implementation was done in real time with minimal computational effort, thus suitable for power-limited applications.
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