Robust Vehicle Detection for Highway Surveillance via Rear-view Monitoring

Akio Yoneyama*, Chia H. Yeh, C. C. Jay Kuo


研究成果: 雜誌貢獻會議論文同行評審

2 引文 斯高帕斯(Scopus)


Vision-based highway monitoring systems play an important role in transportation management and services owing to their powerful ability to extract a variety of information. Detection accuracy of vision-based systems is however sensitive to environmental factors such as lighting, shadow and weather conditions, and it is still a challenging problem to maintain detection robustness at all time. In this research, we present a novel method to enhance detection and tracking accuracy at the nighttime based on rear-view monitoring. In the meanwhile, a method is proposed to improve the background detection and extraction, which usually serves as the first step to moving object region detection. Finally, the effectiveness of the rear-view technique will be analyzed. We compare the tracking accuracy between the front-view and the rear-view techniques, and show that the proposed system can achieve higher detection accuracy at nighttime.

頁(從 - 到)21-32
期刊Proceedings of SPIE - The International Society for Optical Engineering
出版狀態已發佈 - 2003
事件Applications of Digital Image Processing XXVI - San Diego, CA, 美国
持續時間: 2003 8月 52003 8月 8

ASJC Scopus subject areas

  • 電子、光磁材料
  • 凝聚態物理學
  • 電腦科學應用
  • 應用數學
  • 電氣與電子工程


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