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- W2128694549 abstract "This paper presents an approach for pedestrian detection in the nighttime driving with a normal camera. Bright objects in the video are extracted with an adaptive thresholding segmentation algorithm. Then, the size, position, and shape of each object are analyzed to judge whether it is a pedestrian. A tracking module is used to verify the result at last. Experimental results show that the proposed method can detect 71.26% pedestrians." @default.
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- W2128694549 date "2005-03-31" @default.
- W2128694549 modified "2023-09-26" @default.
- W2128694549 title "Pedestrian Detection in Nighttime Driving" @default.
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- W2128694549 doi "https://doi.org/10.1109/icig.2004.111" @default.
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