Jun-Yong Kwak

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This paper proposes a rapid pedestrian-detection algorithm for thermal images by using energy symmetry and oriented center-symmetric local binary pattern (OCS-LBP) features based on luminance saliency. During preprocessing, energy symmetry based on luminance saliency is used as the filter to remove objects and to reduce the pedestrian classification time.(More)
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