Research on vehicle tracking technology in expressway cross-monitoring area based on radar and video fusion

Jianzhen Liu; Baoguo Feng

doi:10.1117/12.2667372

28 March 2023 Research on vehicle tracking technology in expressway cross-monitoring area based on radar and video fusion

Jianzhen Liu, Baoguo Feng

Author Affiliations +

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125661X (2023) https://doi.org/10.1117/12.2667372
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

It is an important way to improve expressway monitoring management level to realize continuous real-time tracking and monitoring of abnormal driving vehicles such as overspeed, long time and low speed occupation of overtaking lane, continuous lane change, and dangerous goods transportation vehicles under different cameras. This article through studies the expressway ray regard convergence across monitoring area joint tracking technology, build the camera comprehensive control, camera control balance compensation and the monitoring area based on target motion continuity principle joint track model, such as through the accurate control of radar to detect vehicle more monitor cameras, solves the continuous tracking target vehicle monitoring technical problems. It has been successfully applied in Yanchong expressway, providing more convenient monitoring services for the expressway management department, and providing strong support for the decision-making of the expressway management department, which has high application value.

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Jianzhen Liu and Baoguo Feng "Research on vehicle tracking technology in expressway cross-monitoring area based on radar and video fusion", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125661X (28 March 2023); https://doi.org/10.1117/12.2667372

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KEYWORDS

Cameras

Target detection

Detection and tracking algorithms

Radar

Video

Roads

Lawrencium

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