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- W2049573670 abstract "With the rapid development of technologies, road traffic surveillance tends to be more intelligent. Detection ofnon-public vehicles driving in public bus lanes is one of the emerging applications. Commonly, fixed cameras areadopted in video surveillance systems. Compared with the limited monitoring areas of fixed cameras, mobile camerascan follow the moving targets and in this way greatly extend the monitoring areas. However, for mobile cameras, manydetection methods do not perform well because the background is rapidly changing and the target is moving fast as well.In this paper, we propose a novel method to detect non-public vehicles driving in the bus lanes (hence violating thetraffic regulations) using mobile cameras installed on buses. In particular, we first use Hough transform and SVMclassifier with color features to detect bus lanes, and then use AdaBoost cascade classifier with Haar features to detectlicense plates in the bus lane area. Finally another SVM classifier is used to classify the color of the license plate todetermine if it belongs to a non-public vehicle. As shown in the experiments, our method is proven to be robust tocomplex background and performs well in the real world situations." @default.
- W2049573670 created "2016-06-24" @default.
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- W2049573670 date "2013-10-27" @default.
- W2049573670 modified "2023-09-23" @default.
- W2049573670 title "Non-public vehicle traffic-violation detection using mobile cameras" @default.
- W2049573670 doi "https://doi.org/10.1117/12.2031350" @default.
- W2049573670 hasPublicationYear "2013" @default.
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