Motion-based vehicle detection in Hsuehshan Tunnel

Chun Ming Tsai, Jun-Wei Hsieh, Frank Y. Shih

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

In this paper, a motion-based vehicle detection is proposed to detect the vehicles in Hsuehshan Tunnel. Camera vision based vehicle detection in the long tunnel is a challenging problem. The video quality emerging from camera is affected by dynamic illumination environment, time variant, camera resolution, camera aging, camera position, camera view angle, heterogeneous camera, and vehicle speed. Besides, the color, shape, size, and appearance of vehicles are very variable. The proposed method provides illumination compensation, moving objects detection, and vehicles identification. Experimental results show that the proposed method can be effective to detect vehicles in Hsuehshan Tunnel with illumination compensation.

原文English
主出版物標題Proceedings of the 8th International Conference on Advanced Computational Intelligence, ICACI 2016
發行者Institute of Electrical and Electronics Engineers Inc.
頁面385-389
頁數5
ISBN(電子)9781467377829
DOIs
出版狀態Published - 7 四月 2016
事件8th International Conference on Advanced Computational Intelligence, ICACI 2016 - Chiang Mai, Thailand
持續時間: 14 二月 201616 二月 2016

出版系列

名字Proceedings of the 8th International Conference on Advanced Computational Intelligence, ICACI 2016

Conference

Conference8th International Conference on Advanced Computational Intelligence, ICACI 2016
國家Thailand
城市Chiang Mai
期間14/02/1616/02/16

指紋 深入研究「Motion-based vehicle detection in Hsuehshan Tunnel」主題。共同形成了獨特的指紋。

引用此