Title :
Video Motion for Every Visible Point
Author :
Ricco, Susanna ; Tomasi, Carlo
Abstract :
Dense motion of image points over many video frames can provide important information about the world. However, occlusions and drift make it impossible to compute long motion paths by merely concatenating optical flow vectors between consecutive frames. Instead, we solve for entire paths directly, and flag the frames in which each is visible. As in previous work, we anchor each path to a unique pixel which guarantees an even spatial distribution of paths. Unlike earlier methods, we allow paths to be anchored in any frame. By explicitly requiring that at least one visible path passes within a small neighborhood of every pixel, we guarantee complete coverage of all visible points in all frames. We achieve state-of-the-art results on real sequences including both rigid and non-rigid motions with significant occlusions.
Keywords :
image motion analysis; image sequences; video signal processing; consecutive frames; drift; frame flagging; image point dense motion; motion path; nonrigid motion; occlusions; optical flow vectors; path spatial distribution; pixel neighborhood; real sequence; rigid motion; video frames; video motion; Estimation; Motion estimation; Optical imaging; Optimization; Subspace constraints; Tracking; Vectors;
Conference_Titel :
Computer Vision (ICCV), 2013 IEEE International Conference on
Conference_Location :
Sydney, NSW
DOI :
10.1109/ICCV.2013.306