Morphological Change Detection System for Real-Time Traffic Analysis
| Autor: | K. Karibasappa, B. Eswar Reddy, S. G. Anuradha |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Traffic congestion reconstruction with Kerner's three-phase theory business.industry Traffic conflict ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Real-time computing Floating car data Vehicle Information and Communication System Traffic congestion Traffic engineering ComputerSystemsOrganization_MISCELLANEOUS Traffic optimization business Traffic bottleneck Simulation |
| Zdroj: | Emerging Research in Computing, Information, Communication and Applications ISBN: 9789811002861 |
| DOI: | 10.1007/978-981-10-0287-8_42 |
| Popis: | 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 economical development of the country that subsequently led to the increased demand for vehicular travel. Incident detection and Traffic congestion are the serious issues in Traffic engineering applications and Intelligent Transport System. Hence the aim of proposed system is to build automatic traffic monitoring system which can replace 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. It can be adopted under various traffic patterns, weather conditions, illuminations and the experimental results are demonstrated. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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