Motion analysis of nearby vehicles on a freeway

Pei Shan Yen*, Chiung Yao Fang, Sei Wang Chen

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

4 引文 斯高帕斯(Scopus)

摘要

Motion analysis in a driver-assistance system plays a very important role for improving driving safety. The objective of this paper is to propose a vision-based system for analyzing the motions of nearby vehicles on a freeway. When the video sequences captured from a forward-looking camcorder mounted in a vehicle are input, the vehicle feature extraction is performed in the area of the road surface. The feature extraction results are then fed into the spatiotemporal attention neural module. Once the focuses of attention, which indicate the possible locations of vehicle, are formed, the segmentation and tracking module is activated. The tracking results of consecutive frames are analyzed using an accumulated method. The experimental results show that our method can quickly and correctly recognize the motion of nearby vehicles in front of our vehicle.

原文英語
主出版物標題Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control
頁面903-908
頁數6
出版狀態已發佈 - 2004 六月 28
事件Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control - Taipei, 臺灣
持續時間: 2004 三月 212004 三月 23

出版系列

名字Conference Proceeding - IEEE International Conference on Networking, Sensing and Control
2

其他

其他Conference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control
國家/地區臺灣
城市Taipei
期間2004/03/212004/03/23

ASJC Scopus subject areas

  • 工程 (全部)

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