SEBWatcher: Visual Analysis System for Subject, Environment and Behavior in Traffic Scenes

With the increasing complexity of current traffic scenarios, it is imperative to utilize intelligent transportation systems to assist traffic managers in effective scene monitoring and decision-making. In this work, we propose a system called SEBWatcher, which aims to visualize the subject, environment, and behaviors within traffic scenes, providing support for traffic managers. The system employs methods such as scene reconstruction, multiview analysis, violator detection, and assessment of driver behavior to enhance road scene monitoring, enable comprehensive traffic environment perception, and focus on target traffic participants.