Pedestrian Detection Algorithm in Nighttime Environment Using the Cascade HOG in Lab Space
نویسنده
چکیده
In this paper, an algorithm to track night pedestrians in real time is proposed. First, data is converted into a night L * a * b * color space, and then the L area is extracted. This data combined with image subtraction creates preprocessing data. Then, using the Cascade Histogram of Oriented Gradient (HOG) algorithm detects the pedestrian at night.
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تاریخ انتشار 2015