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A Vehicle Tracking System Overcoming Occlusion and an Accident Detection Monitoring Using Tracking Trace

  • Conference paper
Advances in Computer Science, Environment, Ecoinformatics, and Education (CSEE 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 215))

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Abstract

We consider the video image detector systems using tracking techniques which can be handling of the all kind of problems in the real world, such as shadow, occlusion, and vehicle detection by nighttime. Also we have derived the traffic information, volume count, speed, and occupancy time, under kaleidoscopic environments. In this system we propose a shadow cast algorithm and this system was tested under typical outdoor field environments at a test site. We evaluated the performance of traffic information, volume counts, speed, and occupancy time, with 4 lanes in which 2 lanes are upstream and the rests are downstream. And the performance of our video-based image detector system is qualified by comparing with laser detector installed on testing place. And we propose an accident detection monitoring system through this tracking trace.

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Author information

Authors and Affiliations

  1. Computer Engineering Part, Hoseo University, 336-795, Sechuli 165, Baebangmyun, Asan, Chungnam, South Korea

    In Jeong Lee

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  1. In Jeong Lee
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Editor information

Editors and Affiliations

  1. International Science & Education Researcher, Association Wuhan Branch, No.1, Jiangxia Road, Wuhan, China

    Song Lin  & Xiong Huang  & 

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Lee, I.J. (2011). A Vehicle Tracking System Overcoming Occlusion and an Accident Detection Monitoring Using Tracking Trace. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23324-1_13

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  • DOI: https://doi.org/10.1007/978-3-642-23324-1_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23323-4

  • Online ISBN: 978-3-642-23324-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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