Title: Evaluation on application of intelligent traffic image recognition system in vehicle detection and tracking

Authors: Cheng Liu

Addresses: College of Digital Business, Jiangsu Vocational Institute of Commerce, Nanjing 210000, Jiangsu, China

Abstract: This paper studied from three aspects: the structure of vehicle detection system and the use of intelligent traffic image recognition system video information collection and analysis, the use of intelligent traffic image recognition system to design vehicle detection algorithms, and the use of intelligent traffic image recognition system to track the application of moving vehicles. Through experiments and research, this paper built a new vehicle detection and tracking system, and the satisfaction rate was 19% higher than that of the traditional vehicle detection and tracking system. Compared with the traditional vehicle detection and tracking system, the accuracy of the new vehicle detection and tracking system was increased by 0.28, and the definition was increased by 0.4. This can be in order to better serve people and solve traffic problems such as urban congestion. Therefore, the construction of intelligent transportation system is very important.

Keywords: intelligent traffic imagery; image recognition system; vehicle detection and tracking; video image processing; intelligent transportation system; ITS.

DOI: 10.1504/IJES.2023.141935

International Journal of Embedded Systems, 2023 Vol.16 No.5/6, pp.375 - 384

Received: 13 Apr 2023
Accepted: 16 Sep 2023
Published online: 03 Oct 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article