Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering

Spatiotemporal segmentation of moving-object using evaluation of boundary in infrared videos

Authors
Liubing Lu, Hui Xu, Chaobo Min, Ye He
Corresponding Author
Liubing Lu
Available Online April 2015.
DOI
10.2991/meic-15.2015.139How to use a DOI?
Keywords
image segmentation; performance evaluation; infrared video; seed extraction; regional growth
Abstract

A new method is presented for spatiotemporal segmentation of moving-object using evaluation of boundary in infrared video. At first, the ideal seeds of every moving object are extracted based on the “holes” effect of temporal difference, respectively. The focus of our wok is spatial segmentation. On the basis of the relationship between the global and local standard deviation of seeds, the segmented masks can be grown form the ideal seeds by using different growing thresholds. For determination of the best growing threshold, a criterion is constructed for evaluating the boundary of the segmented mask of infrared moving-object without prior knowledge. According to the proposed criterion, an iterative model which is segmentation-evaluation-segmentation-evaluation and the search method called as coarse to fine are applied to find the best growing threshold. Meanwhile the best segmented mask is obtained too. The experiment results show that the proposed method is superior and effective on segmentation of moving object in infrared video.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
Series
Advances in Engineering Research
Publication Date
April 2015
ISBN
978-94-62520-62-2
ISSN
2352-5401
DOI
10.2991/meic-15.2015.139How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Liubing Lu
AU  - Hui Xu
AU  - Chaobo Min
AU  - Ye He
PY  - 2015/04
DA  - 2015/04
TI  - Spatiotemporal segmentation of moving-object using evaluation of boundary in infrared videos
BT  - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 611
EP  - 615
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-15.2015.139
DO  - 10.2991/meic-15.2015.139
ID  - Lu2015/04
ER  -