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