Tracking, Segmentation and Optical Flow

Two difficult issues in optical flow are motion discontinuities and large interframe motion. We present an algorithm that addresses both issues by first performing feature tracking and motion segmentation and then warping one of the images to reduce the interframe motion and avoid the motion discontinuities. The algorithm consists of three major phases: 1) feature selection, 2) feature tracking and segmentation 3) optical flow. We used the Lucas and Kanade algorithm to compute the flow. The experiments on real images as well as synthetic images with ground truth showed that this method is very accurate. Ke ywords: Motion, Segmentation, Tracking, Optical Flow