Abstract
Increase in traffic density along with the population growth in the world has resulted in more and more congested roads, air pollution, and accidents. Growth of total number of vehicles around the world has increased exponentially during past decade. Traffic monitoring in this scenario is certainly a big challenge in many cities of India. In most of the cities, we are still dependent on human and accomplishing this herculean task manually. In controlling enormous volume of traffic with manual methods, more and more issues like availability, efficiency, and accuracy of management staff are always encountered. In this study, various traffic monitoring schemes striving to cop up and handle enormous traffic flow with optimized human intervention are studied. Applications of these schemes include identification of vehicles in traffic, sense traffic congestion on a road, measuring speed of vehicle, traffic density on intersections, the presence of VIP vehicles or ambulances, accidents on roads, path for pedestrians, and many more. Usually, intrusive and non-intrusive in situ techniques and in-vehicle technologies are used for traffic monitoring but image processing techniques win over these traditional techniques. The aim of this paper is to discuss the previous research work done to monitor the traffic using image and video processing techniques and future perspective.
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Jain, N.K., Saini, R.K., Mittal, P. (2019). A Review on Traffic Monitoring System Techniques. In: Ray, K., Sharma, T., Rawat, S., Saini, R., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 742. Springer, Singapore. https://doi.org/10.1007/978-981-13-0589-4_53
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DOI: https://doi.org/10.1007/978-981-13-0589-4_53
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