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Dynamic vehicle target detection and traffic statistics algorithm research
Author(s): Changyuan Liu; Yuyan Ren; Luning Hong
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Paper Abstract

With the continuous development of social economy, the per capita car ownership has increased rapidly, and the traffic congestion problem followed has become increasingly serious. In order to process the video information of intersections effectively, this paper completed the design of vehicle target detection and statistics algorithm based on the characteristics of video images in the green light duration. Firstly, a suitable image preprocessing algorithm is designed. Secondly, the improved mixture Gaussian background modeling algorithm is used to perform background subtraction, and the target vehicles are extracted. At the same time, the circumscribed rectangular frame is used to identify the vehicle. Finally, the total number of vehicles of the entire video is counted by calculating the number of vehicles running in the current frame. The experimental results show that the algorithm has a high detection rate and has certain practicability.

Paper Details

Date Published: 14 August 2019
PDF: 8 pages
Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 1117926 (14 August 2019); doi: 10.1117/12.2540070
Show Author Affiliations
Changyuan Liu, Harbin Univ. of Science and Technology (China)
Yuyan Ren, Harbin Univ. of Science and Technology (China)
Luning Hong, Harbin Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 11179:
Eleventh International Conference on Digital Image Processing (ICDIP 2019)
Jenq-Neng Hwang; Xudong Jiang, Editor(s)

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