Abstract
Today, video cameras are widely used to monitor the state and level of traffic. However, while planning a system for the motorways in the Free State of Saxony (Germany), three major problems became obvious. Most commercial image processing software depends on a particular camera model, and it must be calibrated by a professional. In addition, the diverse and sometimes severe environmental conditions are still a challenge for most algorithms. The research goal of the presented work was to resolve these problems with a novel in-house development. The methods developed for incident detection and parking space surveillance do not disclose vehicle-specific characteristics. Only stochastic and non-specific characteristics are used for image processing. Significant results are a remarkable robustness against weather and lighting conditions as well as minimal requirements regarding camera height and direction. The latter leads to low procurement costs as existing infrastructure can be used for the camera installation.
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Döge, KP. (2011). Experiences with Video-Based Incident Detection and Parking Space Surveillance Systems on Motorways in the Free State of Saxony. In: Mikulski, J. (eds) Modern Transport Telematics. TST 2011. Communications in Computer and Information Science, vol 239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24660-9_30
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DOI: https://doi.org/10.1007/978-3-642-24660-9_30
Publisher Name: Springer, Berlin, Heidelberg
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