Design of AID and Monitoring Function Based on Intelligent Vision

Abstract

Event detection system is more and more used in road monitoring. This paper proposes a traffic multi state recognition system based on intelligent vision recognition technology. The gray change interval of frame difference is used to update the image background, and the pixel change control rule is introduced as the core software algorithm. Combined with traffic state monitoring data source, multi state traffic events such as congestion, pedestrian and parking are detected. The actual system test shows that the system can timely and accurately detect related traffic events, and has high detection accuracy. As an important part of intelligent transportation system, traffic incident automatic detection (AID) system plays an important role in avoiding traffic accidents, handling and controlling.