FPGA Based High Performance Optical Flow Computation Using Parallel Architecture
1N.Devi, Department of Electronics and Communication Engineering, Anna university of Technology. Adhiparasakthi Engineering College, Melmaruvathur, Chennai, India
2*Dr.V.Nagarajan, Department of Electronics and Communication Engineering, Anna university of Technology. Adhiparasakthi Engineering College, Melmaruvathur, Chennai, India.
Manuscript received on February 15, 2012. | Revised Manuscript received on February 20, 2012. | Manuscript published on March 05, 2012. | PP: 433-437| Volume-2 Issue-1, March 2012. | Retrieval Number: A0474022112 /2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The proposed work describes a highly parallel architecture for high performance optical flow computation. This system implements the efficient Lucas and Kanade algorithm with multi-scale extension for the computation of large motion estimations. This work deals with the architecture, evaluation of the accuracy and system performance. It also has extension to the original L&K algorithm. So the capable of working is larger than the standard mono scale approaches. In this proposed system, Matlab and Modelsim simulation are selected for local optical flow algorithms due to their potential for a highperformance massive parallelization. The results are obtained with a throughput of one pixel per clock cycle along the whole processing scheme by using the fine-pipeline based architecture.
Keywords: FPGA, Lukas kanade algorithm, Pipelining