Vehicle occlusion identification system by perceptive roadway modeling

Wen Fong Hu*, Yung Sheng Chen, Jun-Wei Hsieh

*此作品的通信作者

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

This paper presents a vehicle occlusion identification system based on the perceptive characters of a roadway. To tracking the vehicles, two stages are devised, initial parameter setting stage and occlusion handling stage. In the initial stage, a background extracting method is adopted to obtain the first clean background. Then, a road detection algorithm is used for finding the vanishing point. After the lane dividing line detection, the perceptive roadway models are established in each lane. These roadway parameters are fed into the occlusion handling stage for analyzing the vehicle occlusion situations. Due to the different occlusion cases, several novel segmentation methods are proposed for improving the accurate of the tracking vehicles. Experiment results are shown the feasibility of the proposed methods.

原文English
主出版物標題Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005
頁面392-397
頁數6
出版狀態Published - 1 十二月 2005
事件9th IAPR Conference on Machine Vision Applications, MVA 2005 - Tsukuba Science City, Japan
持續時間: 16 五月 200518 五月 2005

出版系列

名字Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005

Conference

Conference9th IAPR Conference on Machine Vision Applications, MVA 2005
國家/地區Japan
城市Tsukuba Science City
期間16/05/0518/05/05

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