期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：6
DOI：10.15680/ijircce.2015.0306002
出版社：S&S Publications
摘要：Now a day’s traffic jam is a major problem in daily life in urban areas. Increasing number of vehicles iscausing more traffic jam day by day. One method to overcome the traffic problem is to develop an intelligent trafficdetection system. So we are proposing “Traffic Density Measurement using image processing: An SVM approach”which is based on the measurement of traffic density on the road using camera and image processing techniques. A webcamera will be placed in each road of the city that will capture the still images of the roads. After processing the inputimage, the density of vehicles will be measured and provide us information if any road is blocked by traffic. The maingoal of this method is to detect if there is high traffic density or low so that we can choose alternative road to use.Through the image processing technique we can measure the no of vehicles and using Support Vector Machine (SVM)we analysed our result. We set a threshold value to compare between high and low traffic density
关键词：Image analysis; dilation; erosion; noise reduction and SVM classifier.
