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14 August 2019 Dynamic vehicle target detection and traffic statistics algorithm research
Changyuan Liu, Yuyan Ren, Luning Hong
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Proceedings Volume 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019); 1117926 (2019) https://doi.org/10.1117/12.2540070
Event: Eleventh International Conference on Digital Image Processing (ICDIP 2019), 2019, Guangzhou, China
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.
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Changyuan Liu, Yuyan Ren, and Luning Hong "Dynamic vehicle target detection and traffic statistics algorithm research", Proc. SPIE 11179, Eleventh International Conference on Digital Image Processing (ICDIP 2019), 1117926 (14 August 2019); https://doi.org/10.1117/12.2540070
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KEYWORDS
Image processing
Video processing
Detection and tracking algorithms
Image filtering
Digital filtering
Target detection
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