A shadow elimination method for vehicle analysis

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

*此作品的通信作者

研究成果: Conference contribution同行評審

19 引文 斯高帕斯(Scopus)

摘要

This paper proposes a novel shadow elimination method for solving the shadow occlusion problems of vehicle analysis. Different from traditional methods which only consider intensity properties in shadow modeling, this method introduces a new important feature to eliminate all unwanted shadows, i.e., lane line geometries. In this approach, a set of moving vehicles are first segmented from backgrounds by using a background subtraction technique. At this moment, each extracted vehicle may contain shadows which will cause the failure of further vehicle analysis. To remove these unwanted shadows, a histogram-based method is then proposed for detecting different lane dividing lines from video sequence. According to these lines, a line-based shadow modeling process is then applied for shadow elimination. Two kinds of lines are used here for shadow elimination, i.e., the ones parallel and vertical to lane directions, respectively. Different type of lines has different capabilities to eliminate different kinds of shadows. Experiments demonstrate that approximately 92% of shadows can be successfully eliminated from moving vehicles.

原文English
主出版物標題Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
編輯J. Kittler, M. Petrou, M. Nixon
頁面372-375
頁數4
DOIs
出版狀態Published - 20 十二月 2004
事件Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom
持續時間: 23 八月 200426 八月 2004

出版系列

名字Proceedings - International Conference on Pattern Recognition
4
ISSN(列印)1051-4651

Conference

ConferenceProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
國家/地區United Kingdom
城市Cambridge
期間23/08/0426/08/04

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