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Real time fuzzy based traffic flow estimation and analysis

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Publication date30/03/2019
Host publicationNew Knowledge in Information Systems and Technologies - Volume 2
EditorsÁlvaro Rocha, Sandra Costanzo, Hojjat Adeli, Luís Paulo Reis
PublisherSpringer-Verlag
Pages472-482
Number of pages11
Volume2
ISBN (Print)9783030161835
<mark>Original language</mark>English
EventWorld Conference on Information Systems and Technologies, WorldCIST 2019 - Galicia, Spain
Duration: 16/04/201919/04/2019

Conference

ConferenceWorld Conference on Information Systems and Technologies, WorldCIST 2019
Country/TerritorySpain
CityGalicia
Period16/04/1919/04/19

Publication series

NameAdvances in Intelligent Systems and Computing
Volume931
ISSN (Print)2194-5357

Conference

ConferenceWorld Conference on Information Systems and Technologies, WorldCIST 2019
Country/TerritorySpain
CityGalicia
Period16/04/1919/04/19

Abstract

Real-time traffic flow analysis using road mounted surveillance cameras presents multitude of benefits. In this paper, we used surveillance videos to design optical flow based technique for robust motion analysis and estimation. Region growing method is employed for detection of objects of interest. Autonomous density estimation of vehicles is crucial for traffic congestion analysis so that countermeasures can be taken at the earliest possible opportunity. A video based data extraction scheme for traffic data is proposed to determine the right traffic conditions which alleviates the false alarms and detrimental noise effects. Evaluation of proposed system is done by applying approach on several surveillance videos obtained from different sources and scenarios. An experimental study illustrates estimation and analysis results accuracy as compared to state-of-the-art approaches.