Vehicle Detection Using Spatial Relationship GMM for Complex Urban Surveillance in Daytime and Nighttime

Traffic surveillance is an important issue in intelligent transportation systems. Efficient and accurate vehicle detection is one challenging problem for complex urban traffic surveillance. As such, this paper proposes a new vehicle detection method using spatial relationship GMM for daytime and nig...

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Veröffentlicht in:	International journal of parallel programming Jg. 46; H. 5; S. 859 - 872
1. Verfasser:	Song, Jun-fang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.10.2018 Springer Nature B.V
Schlagworte:	Color Computer Science Daytime Headlights Intelligent transportation systems Lamps License plates Localization Night Occlusion Processor Architectures Software Engineering/Programming and Operating Systems Special Issue on Parallel Approaches for Data Mining in the Internet of Things Realm Surveillance Theory of Computation Traffic surveillance Vehicle identification Part-based model License plate detection Vehicle detection Gaussian mixture model Rear lamp detection Head light detection
ISSN:	0885-7458, 1573-7640
Online-Zugang:	Volltext
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