A novel trajectory clustering approach for motion segmentation

A novel trajectory clustering approach for motion segmentation

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.

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Authors
  • Zeppelzauer, Matthias
  • Zaharieva, Maia
  • Mitrović, Dalibor
  • Breiteneder, Christian
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
16th International Multimedia Modeling Conference
Divisions
Multimedia Information Systems
Event Location
Chongqing, China
Event Type
Conference
Event Dates
6-8 Jan 2010
Series Name
LNCS
Publisher
Springer-Verlag
Page Range
pp. 433-443
Date
2010
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