Real Time Traffic Density And Vehicle Count Using Image Processing Technique
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2015, Vol 4, Issue 8
Abstract
Monitoring Indian trafic and calculation of peak hours and density count in a day helps to develop necessary travel and traffic volume estimates, required to satisfy the needs in the are of road planning, construction, maintenance and overall administration of the state. An algorithm for advance Traffic Surveillance by vehicle counting and classification, based on the image processing theory is proposed. Vehicle counting is done by Background subtraction and finding the centroid. Classification is done by thresholding method and the rush or peak hour implies the high time in which the traffic increases to maximum which would certainly lead to road blocks. Video sequences have been captured and tested with the proposed algorithm. The results can be used for planning of new roads or any other diversion of vehicles need to be taken during the peak time. An image-based technique differs from other roadway sensors, such as radar or inductive loops, which provide data only regarding traffic flow and density, and do not provide information about the type of vehicle in real time.
Authors and Affiliations
S. Sri Harsha, Ch. Sandeep
Keywords
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