Title :
An integrative method for video based traffic parameter extraction in ITS
Author :
Yu, Mei ; Gangyi Jiang ; Yu, Bokang
Author_Institution :
Coll. of Inf. Eng., Ningbo Univ., China
Abstract :
In this paper, an effective integrative method that takes advantages of background subtraction and edge detection is proposed for vehicle detection and shadow rejection. Based on the method, vehicle counting, tracking, classification, and speed estimation for multi-lanes are achieved so that real-time traffic parameters can be obtained to describe the load of each lane
Keywords :
automated highways; edge detection; feature extraction; image classification; optical tracking; road traffic; ITS; background subtraction; classification; edge detection; integrative method; multi-lanes; real-time traffic parameters; shadow rejection; speed estimation; tracking; vehicle counting; vehicle detection; video based traffic parameter extraction; Automatic control; Automotive engineering; Communication system traffic control; Image edge detection; Image sensors; Intelligent transportation systems; Parameter extraction; Radar tracking; Vehicle detection; Vehicles;
Conference_Titel :
Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on
Conference_Location :
Tianjin
Print_ISBN :
0-7803-6253-5
DOI :
10.1109/APCCAS.2000.913425
