计算机应用与软件2016，Vol.33Issue(6)：146-150,5.DOI:10.3969/j.issn.1000-386x.2016.06.036
基于Hough森林的多特征快速行人检测
MULTI-FEATURE FAST PEDESTRIAN DETECTION ALGORITHM BASED ON HOUGH FOREST
摘要
Abstract
In order to quickly detect pedestrians,we first rapidly found out the candidates of the top of the head according to the characteristics of human head tops,and according to this base point we extracted the object contour by using edge detection algorithm and took it as the area to be tested.Secondly,by using the improved colour self-similarity character and combining the region edge histogram and uniform pattern LBP26,1 characters,we conducted the classification and detection on Hough forest classifier.Experimental results showed that, the algorithm proposed in this paper gained the improvement in both the detection accuracy and speed,and had stronger robustness and higher accuracy against the cluttered dynamic background,occlusion and the deformation of the object itself.In many pedestrian datasets tests it achieved good results as well.关键词
行人检测/像素点梯度方向/局部颜色自相似特征/区域边缘直方图/局部二值模式/Hough森林Key words
Pedestrian detection/Pixel gradient direction/Local colour self-similarity character/Region edge histogram/Local binary patterns/Hough forest分类
信息技术与安全科学引用本文复制引用
谷灵康,周鸣争..基于Hough森林的多特征快速行人检测[J].计算机应用与软件,2016,33(6):146-150,5.基金项目
国家自然科学基金项目（61300170）；安徽省自然科学基金项目（1308085MF95）；安徽省级自然科学研究项目（TSKJ2014B11）。 （）
