Region segmentation and labeling in aerial surveillance applications

Hsu Yung Cheng, Ding Wen Wu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

3 引文 斯高帕斯(Scopus)

摘要

The demand for aerial surveillance video keeps growing in recent years. It has been proved to be an effective way to collect information for a wide range of applications, such as intelligence transportation or military applications. In this work, we propose an automatic image segmentation and labeling system for aerial surveillance images. To deal with over segmentation results from existing region segmentation methods, we perform region merging by constructing an undirected-graph based on 8-connected local neighborhood. For each region we extract low-level features and use Support Vector Machine (SVM) classifier to label the region. Based on the output of the SVM classifier adjacent regions with the same label will be further merged to obtain the final labeling result. The experimental results have shown that our proposed system can effectively segment and label various aerial images.

原文???core.languages.en_GB???
主出版物標題2012 12th International Conference on ITS Telecommunications, ITST 2012
頁面502-505
頁數4
DOIs
出版狀態已出版 - 2012
事件2012 12th International Conference on ITS Telecommunications, ITST 2012 - Taipei, Taiwan
持續時間: 5 11月 20128 11月 2012

出版系列

名字2012 12th International Conference on ITS Telecommunications, ITST 2012

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???event.eventtypes.event.conference???2012 12th International Conference on ITS Telecommunications, ITST 2012
國家/地區Taiwan
城市Taipei
期間5/11/128/11/12

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