Browne, Alan, McGinnity, TM, Prasad, G and Condell, Joan (2010) FPGA Based High Accuracy Optical Flow Algorithm. In: ISSC 2010, UCC, Cork, June 23–24. IET. 6 pp. [Conference contribution]
Full text not available from this repository.
Motion estimation of a scene is an interesting problem in computer vision since it is the basis for the dynamic analysis of a scene. However this task is computationally intensive for conventional processors. In this work, an FPGA-based hardware architecture for real-time motion estimation is proposed. The algorithm implemented in hardware is a gradient based inverse finite element method for optical flow computation.It manages the motion estimation of the image by calculating the Gradient, Laplacian, and Velocities of each pixel in a parallel design which improves computational speed. The algorithm used in this paper has been benchmarked against many of the well known algorithms and shows superior performance in terms of average angular error and standard deviation. The FPGA design is presented with preliminary results and discussed.
|Item Type:||Conference contribution (Paper)|
|Faculties and Schools:||Faculty of Computing & Engineering|
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
|Research Institutes and Groups:||Computer Science Research Institute > Intelligent Systems Research Centre|
Computer Science Research Institute
|Deposited By:||Professor Girijesh Prasad|
|Deposited On:||19 May 2011 14:30|
|Last Modified:||19 May 2011 14:30|
Repository Staff Only: item control page