A video processing algorithm for vehicle parameter acquisition and classification is presented. The algorithm is based on a 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 acquiring vehicle parameters and to classify vehicles. The accuracy of vehicle counting and classification is analyzed on different videos.

Kadiķis, R., & Freivalds, K. (2013, December). Vehicle classification in video using virtual detection lines. In Sixth International Conference on Machine Vision (ICMV 2013) (Vol. 9067, p. 90670Y). International Society for Optics and Photonics.

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