Abstract
Non-intrusive video vehicle detection and tracking for traffic flow surveillance and statistics is the primary alternative to conventional inductive loop detectors. Vision-based systems for traffic have an impressive spread both for their practical application and interest as research issue. This paper presents vision-based vehicle detection and tracking system which consists of environment background segmentation and subtraction, foreground moving object extraction, moving vehicles detection algorithms, object tracking algorithms, and vehicle classification. The proposed system can perform well for the video sequences acquired under different weather, illumination, and traffic conditions through the use of these technologies.
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© 2011 Springer-Verlag Berlin Heidelberg
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Li, Q., Dang, H., Zhang, Y., Wu, D. (2011). Video Vehicle Detection and Tracking System. In: Zhou, M., Tan, H. (eds) Advances in Computer Science and Education Applications. Communications in Computer and Information Science, vol 202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22456-0_4
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DOI: https://doi.org/10.1007/978-3-642-22456-0_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22455-3
Online ISBN: 978-3-642-22456-0
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