A typical video-based framework for counting, behavior and safety analysis at intersections
Mohammad Shokrolah Shirazi, Brendan Morris · 2015
This work presents a framework to analyze traffic intersections by counting vehicles and pedestrians and assessing their behavior and safety. The major reason of developing this framework is to facilitate manual analyses from the video recordings by only providing detection files, typical paths, distance and conflict points. After tracking and recognizing paths, pedestrian and vehicle trajectories are extracted and their counting, behavior and safety information are estimated. Experimental results include estimated speed profile, turning movement count, waiting time, Time to Intersection (TTI) and Time To Collision (TTC) for two highly cluttered videos of Las Vegas intersections. The accuracy of 90%, 99% and 90% were obtained for vehicles waiting time, turning movement count and pedestrians crossing count. The semi-automatic system is a comprehensive solution for video based behavior, safety and counting analyses at intersections with high accuracy.