Expansion of Applicable Environment and Destinction of Bikes in Traffic Measurement

Abstract

This paper describes a new system for both expansion of applicable environment and destinction of bikes in traffic measurement by image processing in order to obtain traffic state exactly. We treat image sequence as input, and decide weather and time slots based on both environment parameter and information of back-ground image. And we get area of moving object by subtracting background image from input image under dicision environment. Moreover, this system detect relebant vehicle area by dealing with grouped labels with feature in one frame and continuous frame. Experimental results with this system show efficience on traffic measurement.