Camera based vehicle detection and tracking using shadows and adaptive template matching

Authors:
Marco Krips;Andreas Teuner;Jörg Velten;Anton Kummert
Affiliations:
University of Wuppertal, Communication Theory, Wuppertal, Germany;Delphi Delco Electronics Europe GmbH, Wuppertal, Germany;University of Wuppertal, Communication Theory, Wuppertal, Germany;University of Wuppertal, Communication Theory, Wuppertal, Germany
Venue:
ICECS'03 Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing
Year:
2003

Citing 1
Cited 1

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WSEAS Transactions on Computers

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Abstract

Enhancement of road traffic safety means that the human component as well as the technical components have to work at highest level. Together they build a complex system. Due to rising road traffic, mental and physical stress, driver's concentration is deteriorating and is the main reason for traffic accidents. Improvement of the human factor is very difficult, but the introduction of driver assistance systems offers a wide range of applications that help to compensate or correct human faults. Typical accidents, caused by missing driver's attention, are accidents during lane change. Drivers forget to assure that no other vehicle is alongside; especially they forget to check the blind spot. This paper presents our first approaches to detect vehicles in the blind spot of a driving car.