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선택적 블록기반의 HOG-SVM을 이용한 향상된 속도의 보행자 검출
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- Issue Date
- 2011-11
- Citation
- 대한전자공학회 종합 학술 대회 (추계) 2011, pp.608-611
- Publisher
- 대한전자공학회
- Language
- Korean
- Type
- Conference Paper
- Abstract
- We propose a fast implementation method for the Histogram of Oriented Gradients (HOG) based pedestrian detection. Instead of all the blocks inside the detection window, we extract the HOG features from a few blocks selected by the Adaboost algorithm. Experiment results show that the proposed algorithm is four times faster than the conventional HOG-SVM algorithm.
- KSP Keywords
- AdaBoost Algorithm, Experiment results, Fast implementation, HoG features, Implementation method, SVM algorithm, histogram of gradient(HOG), pedestrian detection