• Komal Mohite
• Abhijit Mali

Face detection and tracking has been a crucial and a lively analysis field as a result of it offers several applications, particularly in video investigation, biometrics, or video writing. The goal of this project is to implement a real time system on Associate on FPGA board to observe and track somebody's face. The face detection algorithmic rule concerned with 7color-based skin segmentation and image filtering. The face location is set by scheming the centroid of the detected region. A software package version of the algorithmic rule was severally enforced and tested on still footage in MATLAB. Though the transition from MATLAB to Verilog isn't as swish needless to say, experimental results proven the accuracy and effectiveness of the real time system, even underneath varied conditions of lights, facial poses, and skin colors. All calculation of the hardware implementation is finished in real time with stripped procedure effort, so appropriate for power-limited applications.

Face detection, biometrics, video writing, skin color, facial poses.

"Implementation of real-time system on FPGA board for human’s face detection and tracking author", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.f255-f259, July-2022, Available :http://www.jetir.org/papers/JETIR2207536.pdf

"Implementation of real-time system on FPGA board for human’s face detection and tracking author", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppf255-f259, July-2022, Available at : http://www.jetir.org/papers/JETIR2207536.pdf