Research Paper | Electronics & Communication Engineering | India | Volume 5 Issue 3, March 2016
Overview of Analyzing Real Time Segmentation of High Definition Video using Gaussian Mixture Model Algorithm on FPGA
Manu K S | Dr. Rekha K.R | Dr. Nataraj K. R.
Abstract: 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.
Keywords: GMM, BI, Segmentation, Vedio, FPGA, HD,
Edition: Volume 5 Issue 3, March 2016,
Pages: 1974 - 1977
How to Cite this Article?
Manu K S, Dr. Rekha K.R, Dr. Nataraj K. R., "Overview of Analyzing Real Time Segmentation of High Definition Video using Gaussian Mixture Model Algorithm on FPGA", International Journal of Science and Research (IJSR), Volume 5 Issue 3, March 2016, pp. 1974-1977, https://www.ijsr.net/get_abstract.php?paper_id=NOV162317
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