Abstract
Nowadays roads are getting overcrowded and the number of vehicles on the roads is increasing. The main reason is the increase in the population of metro cities, urbanization, and economic development of the country that subsequently led to the increased demand for vehicular travel. Incident detection and traffic congestion are serious issues in traffic engineering applications and intelligent transport systems. Hence the aim of the proposed system is to build an automatic traffic monitoring system that can replace or reduce manual traffic monitoring. The proposed mathematical morphological technique is able to detect and track the moving vehicle from the traffic video in real-time and give a message to the traffic control station. The experimental results show that the proposed technique can be adopted under various traffic patterns, weather conditions, and illuminations.
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Anuradha, S.G., Karibasappa, K., Eswar Reddy, B. (2016). Morphological Change Detection System for Real-Time Traffic Analysis. In: Shetty, N., Prasad, N., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications . Springer, Singapore. https://doi.org/10.1007/978-981-10-0287-8_42
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DOI: https://doi.org/10.1007/978-981-10-0287-8_42
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