| 行人检测技术综述; A Survey on Pedestrian Detection | |
| 苏松志 ; 李绍滋 ; 陈淑媛 ; 蔡国榕 ; 吴云东 | |
| 2012 | |
| 关键词 | 行人检测 目标检测 智能监控 车辆辅助驾驶 pedestrian detection object detection intelligent surveillance driver assistance systems |
| 英文摘要 | 行人检测是计算机视觉中的研究热点和难点,本文对2005-2011这段时间内的行人检测技术中最核心的两个问题—特征提取、分类器与定位—的研究现状进行综述.文章中首先将这些问题的处理方法分为不同的类别,将行人特征分为底层特征、基于学习的特征和混合特征,分类与定位方法分为滑动窗口法和超越滑动窗口法,并从纵横两个方向对这些方法的优缺点进行分析和比较,然后总结了构建行人检测器在实现细节上的一些经验,最后对行人检测技术的未来进行展望.; Pedestrian detection is an active area of research with challenge in computer vision.This study conducts a detailed survey on state-of-the-art pedestrian detection methods from 2005 to 2011,focusing on the two most important problems:feature extraction,the classification and localization.We divided these methods into different categories;pedestrian features are divided into three subcategories:low-level feature,learning-based feature and hybrid feature.On the other hand,classification and localization is also divided into two sub-categories:sliding window and beyond sliding window.According to the taxonomy,the pros and cons of different approaches are discussed.Finally,some experiences of how to construct a robust pedestrian detector are presented and future research trends are proposed.; 国家自然科学基金(No.60873179);高等学校博士学科点专项科研基金(No.20090121110032);深圳市科技计划-基础研究(No.JC200903180630A);深圳市科技研发基金-深港创新圈计划(No.ZYB200907110169A);福建省教育厅基金(No.JA10196) |
| 语种 | zh_CN |
| 内容类型 | 期刊论文 |
| 源URL | [http://dspace.xmu.edu.cn/handle/2288/122861]  |
| 专题 | 信息技术－已发表论文 |
| 推荐引用方式 GB/T 7714 | 苏松志,李绍滋,陈淑媛,等. 行人检测技术综述, A Survey on Pedestrian Detection[J],2012. |
| APA | 苏松志,李绍滋,陈淑媛,蔡国榕,&吴云东.(2012).行人检测技术综述.. |
| MLA | 苏松志,et al."行人检测技术综述".(2012). |
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