Fast optical flow algorithm for large-scale motion
一种针对大尺度运动的快速光流算法

Conventional optical flow computation method must satisfy the consistent and coherent hypothesis, which is not appropriate to large-scale motion. In order to overcome the difficulty of calculating optical flow on fast and great magnitudes motion whose target displacement exceeds feature tracking window, this paper introduced the multi-scale image pyramid model and vector mapping transform, adjusting the image resolution to capture large-scale motion within small calculating window. Meanwhile, by using non-maximum suppression method to select points with large eigenvalue of image correlation matrix as strong corner feature, it reduced the cost of optical flow calculation. Experimental results show that the proposed algorithm is robust to complicated circumstances and can obtain the direction and speed of optical flow vector efficiently.