Paper
24 December 2013 Vehicle classification in video using virtual detection lines
Roberts Kadiķis, Kārlis Freivalds
Author Affiliations +
Proceedings Volume 9067, Sixth International Conference on Machine Vision (ICMV 2013); 90670Y (2013) https://doi.org/10.1117/12.2051028
Event: Sixth International Conference on Machine Vision (ICMV 13), 2013, London, United Kingdom
Abstract
A video processing algorithm for vehicle parameter acquisition and classification is presented. The algorithm is based on combination of several detection lines. According to passing vehicles, intervals are created on the detection lines. Intervals on different lines, belonging to the same vehicle, are combined. Further processing of vehicle intervals allows to acquire vehicle parameters and to classify vehicles. The accuracy of vehicle counting and classification is analyzed on different videos.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Roberts Kadiķis and Kārlis Freivalds "Vehicle classification in video using virtual detection lines", Proc. SPIE 9067, Sixth International Conference on Machine Vision (ICMV 2013), 90670Y (24 December 2013); https://doi.org/10.1117/12.2051028
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Roads

Video

Detection and tracking algorithms

Cameras

Sensors

Video processing

Information technology

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