A Novel Trajectory Clustering Approach for Motion Segmentation

M. Zeppelzauer, M. Zaharieva, D. Mitrovic, C. Breiteneder:
"A Novel Trajectory Clustering Approach for Motion Segmentation";
Vortrag: Multimedia Modeling Conference, Chongqing, China; 06.01.2010 - 08.01.2010; in:"Advances in Multimedia Modeling", Springer, Lecture Notes in Computer Science, 5916 (2010), ISBN: 978-3-642-11300-0; S. 433 - 443.

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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.