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Conference Paper
모바일 프로세서 기반 보행자 검출 속도 향상 기법
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- Issue Date
- 2015-11
- Citation
- 대한전자공학회 학술 대회 (추계) 2015, pp.587-590
- Publisher
- 대한전자공학회
- Language
- Korean
- Type
- Conference Paper
- Abstract
- 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.
- KSP Keywords
- Detection algorithm, HoG features, Improvement method, Multi-scale, Tegra K1, Vehicle applications, computation time, detection rate(DR), pedestrian detection, regions of interest