Overview of Analyzing Real Time Segmentation of High Definition Video using Gaussian Mixture Model Algorithm on FPGA

In many image and video processing systems, background identification is basic and important features to perform the operations. In this paper we are analyzing different approaches, models and algorithms of segmentation in real time for background identification. We are approaching the segmentation for high definition vedio using Gaussian mixture model (GMM) and implement the same on high speed FPGA board. We are trying to improve the process at High resolution (HD) Frames per second (fps). we are targeting to achieve less hardware consumption with high resolution.