Vehicle Classification in Video Using Virtual Detection Lines

Proceedings of SPIE 2013
Roberts Kadiķis, Kārlis Freivalds

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 SPIE.

Keywords
Vehicle classification, Vehicle tracking, Video processing, Virtual detection lines
DOI
10.1117/12.2051028

Kadiķis, R., Freivalds, K. Vehicle Classification in Video Using Virtual Detection Lines. Proceedings of SPIE, 2013, Vol.9067: Sixth International Conference on Machine Vision (ICMV 2013), pp.90670Y-90670Y. ISSN 0277-786X. Available from: doi:10.1117/12.2051028

Publication language
English (en)