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- W2368494494 abstract "To solve the auto-recognition problem of multi-type traffic lights in complex background,a novel method based on brightness value division,K-means clustering and histogram analysis of foreground objects was proposed.Firstly,self-localization was realized by brightness value division,geometric features analysis and classification statistics.Along with signal color judgment by K-means clustering algorithm,the type and direction information of traffic lights would be acquired by analyzing the histograms of foreground objects;accordingly auto-detection was realized.Experimental results showed that the proposed method had high detection accuracy for multi-type traffic lights in different scenarios.It was proved that this method was highly reliable and widely applicable." @default.
- W2368494494 created "2016-06-24" @default.
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- W2368494494 date "2014-01-01" @default.
- W2368494494 modified "2023-09-24" @default.
- W2368494494 title "A comprehensive method for traffic lights detection in complex background" @default.
- W2368494494 hasPublicationYear "2014" @default.
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