We propose a novel clustering scheme for spatio-temporal segmentation of sparse motion fields obtained from feature tracking. The approach allows for the segmentation of meaningful motion components in a scene, such as short- and long-term motion of single objects, groups of objects and camera motion. The method has been developed within a project on the analysis of low-quality archive films. We qualitatively and quantitatively evaluate the performance and the robustness of the ap- proach. Results show, that our method successfully segments the motion components even in particularly noisy sequences.
M. Zeppelzauer, M. Zaharieva, D. Mitrovic, C. Breiteneder: "A Novel Trajectory Clustering Approach for Motion Segmentation"; Talk: Multimedia Modeling Conference, Chongqing, China; 01-06-2010 - 01-08-2010; in: "Advances in Multimedia Modeling", Springer, Lecture Notes in Computer Science, 5916 (2010), ISBN: 978-3-642-11300-0; 433 - 443.
Click into the text area and press Ctrl+A/Ctrl+C or ⌘+A/⌘+C to copy the BibTeX into your clipboard… or download the BibTeX.