Optical Flow (OF) approaches for motion estimation calculate vector fields for the apparent velocities of objects in image sequences. Most very-large-scale integration (VLSI) designs of the global optical flow method focus on reducing external memory accesses due to global and iterative processes for low power operation in mobile systems. However, to achieve this goal, considerable amounts of resources are used and the throughput is decreased. To address these issues, we propose a multi row based propagation approach and an efficient VLSI architecture. This approach divides an image into multiple small sub images. The flow of each sub image is then estimated sequentially using a small amount of internal memory without accessing any external memory. To avoid discontinuity artifacts stemming from the boundaries of the sub images, boundary conditions are imposed based on the smoothness of the optical flow. In addition, the main equations of the global optical flow method are simplified to boost the processing speed. Further this project is enhanced by using clock gating based memory in order to reduce both power and throughput.

Clock Gating, artifacts, Optical flow, multi row based propagation, Memory organization