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김휘(Whui Kim),윤창락(Changrak Yoon),강정규(Jungyu Kang),김경호(Kyong-Ho Kim) 대한전자공학회 2015 대한전자공학회 학술대회 Vol.2015 No.11
We propose pedestrian detection rate improvement method on Tegra K1 Processor considering vehicle application. We improved the OpenCV HoG-SVM detection algorithm to reduce computation time. Using regions of interest defined by the calibration information and multi-scale classifiers that share HoG Features, computation time of HoG-SVM detector was reduced by 34% on Geforce GTX 980 processor and by 44% on Tegra K1 processor.