A Novel Trajectory Clustering Approach for Motion Segmentation

By Matthias Zeppelzauer, Maia Zaharieva, Dalibor Mitrovic, and Christian Breiteneder

Abstract

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.

Reference

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.

BibTeX

@inproceedings{TUW-181914,     author = {Zeppelzauer, Matthias and Zaharieva, Maia and Mitrovic, Dalibor and Breiteneder, Christian},     title = {A Novel Trajectory Clustering Approach for Motion Segmentation},     booktitle = {Advances in Multimedia Modeling},     year = {2010},     pages = {433--443},     publisher = {Springer},     address = {Lecture Notes in Computer Science, 5916},     url = {http://publik.tuwien.ac.at/files/PubDat_181914.pdf},     isbn = {978-3-642-11300-0},     note = {Vortrag: Multimedia Modeling Conference, Chongqing, China; 2010-01-06 -- 2010-01-08} } 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.