Motion based Segmentation for Robot Vision using Adapted EM Algorithm

Wei Zhao; Nico Roos

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Paper

Motion based Segmentation for Robot Vision using Adapted EM Algorithm

Topics: Object Detection and Localization; Optical Flow and Motion Analyses; Vision for Robotics

In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3 VISAPP: VISAPP, 649-656, 2016 , Rome, Italy

Authors: Wei Zhao and Nico Roos

Affiliation: Maastricht University, Netherlands

Keyword(s): Optical Flow, SIFT Matching, Clustering, Motion Segmentation.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Pattern Recognition ; Robotics ; Software Engineering

Abstract: Robots operate in a dynamic world in which objects are often moving. The movement of objects may help the robot to segment the objects from the background. The result of the segmentation can subsequently be used to identify the objects. This paper investigates the possibility of segmenting objects of interest from the background for the purpose of identification based on motion. It focusses on two approaches to represent the movements: one based on optical flow estimation and the other based on the SIFT-features. The segmentation is based on the expectation-maximization algorithm. A support vector machine, which classifies the segmented objects, is used to evaluate the result of the segmentation.

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Paper citation in several formats:

Zhao, W. and Roos, N. (2016). Motion based Segmentation for Robot Vision using Adapted EM Algorithm. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 649-656. DOI: 10.5220/0005721606490656

@conference{visapp16,
author={Wei Zhao. and Nico Roos.},
title={Motion based Segmentation for Robot Vision using Adapted EM Algorithm},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP},
year={2016},
pages={649-656},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005721606490656},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP
TI - Motion based Segmentation for Robot Vision using Adapted EM Algorithm
SN - 978-989-758-175-5
IS - 2184-4321
AU - Zhao, W.
AU - Roos, N.
PY - 2016
SP - 649
EP - 656
DO - 10.5220/0005721606490656
PB - SciTePress