天津工业大学学报2017，Vol.36Issue(2)：59-63,5.DOI:10.3969/j.issn.1671-024x.2017.02.011
基于多重分形谱的行人检测
Pedestrain detection based on multifractal spectrum
摘要
Abstract
To overcome the high computational complexity and time-consuming of traditional pedestrian detection , a pedestrain detection method using multifractal spectrum (MFS) was proposed. The multifractal theory was used for analyzing the pedestrian image and calculating the corresponding MFS. The MFS feature was extracted , and support vector machine (SVM) was selected to achieve slide-window detection for pedestrian. The proposed method was compared with the algorithms based on HOG and HOG-NMF on INRIA database. The experimental results showed that the detection accuracy of the proposed algorithm was 86.59%, the false alarm rate was 7.75%, the algorithm has higher detection rate and lower false alarm rate.关键词
行人检测/多重分形/多重分形谱/支持向量机Key words
pedestrian detection/multifractal/multifractal spectrum(MFS)/support vector machine(SVM)分类
信息技术与安全科学引用本文复制引用
罗菁,訾春元,张建良,刘悦..基于多重分形谱的行人检测[J].天津工业大学学报,2017,36(2):59-63,5.基金项目
天津市自然科学基金资助项目(16JCYBJC15400) （16JCYBJC15400）
全国工程专业学位研究生教育指导委员会资助项目(2016-ZX-064) （2016-ZX-064）
