Talks and Poster Presentations (with Proceedings-Entry):
M. Zeppelzauer, M. Zaharieva, D. Mitrovic, C. Breiteneder:
"A Novel Trajectory Clustering Approach for Motion Segmentation";
Talk: Multimedia Modeling Conference,
Chongqing, China;
2010-01-06
- 2010-01-08; in: "Advances in Multimedia Modeling",
Springer,
Lecture Notes in Computer Science, 5916
(2010),
ISBN: 978-3-642-11300-0;
433
- 443.
English 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.
German abstract:
-
Electronic version of the publication:
http://publik.tuwien.ac.at/files/PubDat_181914.pdf
Created from the Publication Database of the Vienna University of Technology.