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A survey of video processing techniques for traffic applications.

Kastrinaki V., Zervakis Michalis, Kalaitzakis Kostas

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URIhttp://purl.tuc.gr/dl/dias/2D869BA2-66D3-4936-9319-9680FCEE2DD3-
Identifierhttp://www.tuc.gr/fileadmin/users_data/elci/Kalaitzakis/J.25.pdf-
Identifierhttps://doi.org/10.1016/S0262-8856(03)00004-0-
Languageen-
Extent23en
TitleA survey of video processing techniques for traffic applications.en
CreatorKastrinaki V.en
CreatorZervakis Michalisen
CreatorΖερβακης Μιχαληςel
CreatorKalaitzakis Kostasen
CreatorΚαλαϊτζακης Κωσταςel
PublisherElsevieren
DescriptionΔημοσίευση σε επιστημονικό περιοδικό el
Content SummaryVideo sensors become particularly important in traffic applications mainly due to their fast response, easy installation, operation and maintenance, and their ability to monitor wide areas. Research in several fields of traffic applications has resulted in a wealth of video processing and analysis methods. Two of the most demanding and widely studied applications relate to traffic monitoring and automatic vehicle guidance. In general, systems developed for these areas must integrate, amongst their other tasks, the analysis of their static environment (automatic lane finding) and the detection of static or moving obstacles (object detection) within their space of interest. In this paper we present an overview of image processing and analysis tools used in these applications and we relate these tools with complete systems developed for specific traffic applications. More specifically, we categorize processing methods based on the intrinsic organization of their input data (feature-driven, area-driven, or model-based) and the domain of processing (spatial/frame or temporal/video). Furthermore, we discriminate between the cases of static and mobile camera. Based on this categorization of processing tools, we present representative systems that have been deployed for operation. Thus, the purpose of the paper is threefold. First, to classify image-processing methods used in traffic applications. Second, to provide the advantages and disadvantages of these algorithms. Third, from this integrated consideration, to attempt an evaluation of shortcomings and general needs in this field of active research.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-09-30-
Date of Publication2003-
SubjectDetection, Trafficen
SubjectMonitoring, Trafficen
SubjectSurveillance, Trafficen
SubjectTraffic detectionen
SubjectTraffic surveillanceen
Subjecttraffic monitoringen
Subjectdetection trafficen
Subjectmonitoring trafficen
Subjectsurveillance trafficen
Subjecttraffic detectionen
Subjecttraffic surveillanceen
SubjectAutomatic vehicle guidanceen
SubjectAutomatic lane findingen
SubjectObject detectionen
SubjectDynamic scene analysisen
Bibliographic CitationV. Kastrinaki, M. Zervakis and K. Kalaitzakis, "A survey of video processing techniques for traffic applications," Image and Vision Computing, vol. 21, no. 4, pp. 359-381, Apr. 2003. doi:10.1016/S0262-8856(03)00004-0en

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