Intelligent Vision Technologies in Traffic Surveillance Systems

Dear Colleagues,

Intelligent vision technologies are becoming a cornerstone of next-generation traffic surveillance and intelligent transportation systems. This Special Issue on “Intelligent Vision Technologies in Traffic Surveillance Systems” focuses on novel computer vision and deep learning methods that enhance perception, analysis, and decision-making in complex traffic environments. We invite contributions on video-based monitoring, object and behavior analysis, anomaly and incident detection, multi-sensor fusion, and robust real-time processing under challenging conditions. Studies on system architectures, edge/cloud deployment, privacy and security, as well as benchmark datasets and reproducible tools, are particularly encouraged. By bringing together cutting-edge research and practical applications, this Special Issue aims to advance the state of the art and provide new insights for safer, more efficient, and more intelligent traffic surveillance.

Dr. Wei Zhou
Dr. Weijie Yu
Dr. Liyang Hu
Guest Editors

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