微型机与应用Issue(18)：36-38,41,4.
基于感兴趣区域特征融合的行人检测方法研究
Research of pedestrian detection method based on the feature fusion of interested region
摘要
Abstract
In recent years, along with the rapid development of the intelligent vehicle, pedestrian detection in vehicle auxiliary driving is paid more and more attention. This thesis proposes a TS-LBP operator (Two-dimensional Significant Local Binary Pattern) which can reflect the texture characteristics and the significance of the image with strong anti-noise performance. The first step is to extract the interested target area. Then it extracted color and texture feature fusion of the target area for target characteristics described. Finally using Adaboost training algorithm, it got a pedestrian classifier to identify pedestrians. The research shows that the method proposed in this paper is fast and accurate with good detection results.关键词
行人检测/感兴趣区域/颜色特征/纹理特征/特征融合Key words
pedestrian detection/regions of interest/color feature/texture feature/feature fusion分类
计算机与自动化引用本文复制引用
彭宝,孙韶媛,梁炳春,赵海涛..基于感兴趣区域特征融合的行人检测方法研究[J].微型机与应用,2015,(18):36-38,41,4.基金项目
国家自然科学基金 （）
