抽象的

Traffic Density Count by Optical Flow Algorithm using Image Processing

Dharani.S.J, Anitha.V

Due to the rapid increase in the number of vehicles, traffic congestions and traffic jams are happening very often during peak hours. Hence managing the traffic issues is necessary in rapidly growing cities. The poor traffic management often creates traffic jams which results in many other critical issues like life loss and also affects the human routine lives. One of the methods to overcome the traffic problem is to develop a traffic control system by measuring the traffic density on a road using video capturing and Real time image processing techniques. The Existing image processing systems work well in free-flowing traffic, but not with the traffic congestion. The suggested algorithm will determine the number of vehicles on the road and to control the traffic by calculating the traffic density only on the targeted area. The Optical Flow algorithm works by comparing the reference image (real time frame of live video) with the vehicles captured only in the region of interest (i.e., road area). In order to intelligently control the traffic signal the measured vehicle density can be compared with other direction of the traffic