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Author Neelima, D. ♦ Mamidisetti, Gowtham
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Costly Equipment ♦ Complicated Operation Procedure ♦ Traffic Information ♦ Performance Vary ♦ Intelligent System ♦ Automatic Traffic Surveillance System ♦ Nighttime Traffic Surveillance ♦ Traffic Lane ♦ Vital Requirement ♦ Robust Performance ♦ Traffic Surveillance ♦ Robust Nighttime Traffic Surveillance System ♦ Real-time Detecting ♦ Nighttime Condition ♦ Traveling Status ♦ Offline Configuration ♦ Specific Traffic Scene ♦ Traffic Scene ♦ Current Work ♦ Urban City ♦ Video Surveillance ♦ Many Different Nighttime Traffic Scenario ♦ Developed System ♦ Preprocessing Module ♦ Night Time ♦ Roadside Camera
Abstract Intelligent system for traffic surveillance and monitoring is increasingly a vital requirement for each and every urban city in the world. Existing automatic traffic surveillance systems are generally known to involve costly equipments with complicated operation procedures. Especially, the problem of video surveillance under nighttime condition is often neglected in those systems, which makes their performance vary largely between day and night time. In this current work we propose a robust nighttime traffic surveillance system which reuses the existing roadside cameras to capture traffic scenes, automatically analyse the traffic, and particularly focuses on the problem of nighttime traffic surveillance. The system consists of a preprocessing module, which is responsible for offline configuration for each specific traffic scene, and a traffic analyzing module, which deals with real-time detecting and tracking vehicles in that scene. The traffic information obtained from the system during the surveillance includes number of traffic lanes in the scenes, location of vehicles on the lanes and their traveling status. The developed system has been tested on many different nighttime traffic scenarios and proven to provide robust performance in both accuracy and processing speed. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study