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Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm Read chapter Read first chapter

2014 | OriginalPaper | Chapter

Motion Segmentation with Weak Labeling Priors

Authors : Hodjat Rahmati, Ralf Dragon, Ole Morten Aamo, Luc van Gool, Lars Adde

Published in: Pattern Recognition

Publisher: Springer International Publishing

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Abstract

Motions of organs or extremities are important features for clinical diagnosis. However, tracking and segmentation of complex, quickly changing motion patterns is challenging, certainly in the presence of occlusions. Neither state-of-the-art tracking nor motion segmentation approaches are able to deal with such cases. Thus far, motion capture systems or the like were needed which are complicated to handle and which impact on the movements. We propose a solution based on a single video camera, that is not only far less intrusive, but also a lot cheaper. The limitation of tracking and motion segmentation are overcome by a new approach to integrate prior knowledge in the form of weak labeling into motion segmentation. Using the example of Cerebral Palsy detection, we segment motion patterns of infants into the different body parts by analyzing body movements. Our experimental results show that our approach outperforms current motion segmentation and tracking approaches.

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previous chapter Exemplar-Specific Patch Features for Fine-Grained Recognition
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Metadata
Title
Motion Segmentation with Weak Labeling Priors
Authors
Hodjat Rahmati
Ralf Dragon
Ole Morten Aamo
Luc van Gool
Lars Adde
Copyright Year
2014
Book
Pattern Recognition

Print ISBN: 978-3-319-11751-5

Electronic ISBN: 978-3-319-11752-2

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-11752-2_13

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