Traffic monitoring using image processing : a thesis presented in partial fulfillment of the requirements for the degree of Master of Engineering in Information and Telecommunications Engineering at Massey University, Palmerston North, New Zealand

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dc.contributor.authorLi, Rui
dc.date.accessioned2018-10-15T20:50:38Z
dc.date.available2018-10-15T20:50:38Z
dc.date.issued2007
dc.description.abstractTraffic monitoring involves the collection of data describing the characteristics of vehicles and their movements. Such data may be used for automatic tolls, congestion and incident detection, law enforcement, and road capacity planning etc. With the recent advances in Computer Vision technology, videos can be analysed automatically and relevant information can be extracted for particular applications. Automatic surveillance using video cameras with image processing technique is becoming a powerful and useful technology for traffic monitoring. In this research project, a video image processing system that has the potential to be developed for real-time application is developed for traffic monitoring including vehicle tracking, counting, and classification. A heuristic approach is applied in developing this system. The system is divided into several parts, and several different functional components have been built and tested using some traffic video sequences. Evaluations are carried out to show that this system is robust and can be developed towards real-time applications.en_US
dc.identifier.urihttp://hdl.handle.net/10179/13851
dc.language.isoenen_US
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectTraffic surveysen_US
dc.subjectData processingen_US
dc.subjectImage processingen_US
dc.subjectEquipment and suppliesen_US
dc.titleTraffic monitoring using image processing : a thesis presented in partial fulfillment of the requirements for the degree of Master of Engineering in Information and Telecommunications Engineering at Massey University, Palmerston North, New Zealanden_US
dc.typeThesisen_US
massey.contributor.authorLi, Rui
thesis.degree.disciplineInformation and Telecommunications Engineeringen_US
thesis.degree.grantorMassey Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Engineering (M. E.)en_US
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