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两种性能优异的行人检测方法分析
Analysis of Two Outstanding Pedestrian Detection Methods
【摘要】 行人检测是计算机视觉中的关键问题,与之相关的一些应用对人们的生活质量有着潜在的积极影响。近年来,基于单眼图像行人检测方法的数量正稳步增长。对现今两种最优异的行人检测算法做深入的分析,对比两种算法在特征提取,分类器选择以及加速优化过程中各自的特点,为将来设计出更出色的算法提供指引。
【Abstract】 Pedestrian detection is a key problem in computer vision, with several applications that have the potential to positively impact quality of life. In recent years, the number of approaches to detecting pedestrians in monocular images has grown steadily. Analyzes two outstanding pedestrian detection algorithms by comparing their characteristics in features, classifiers, and optimization, it will provide guidance for the design of better algorithms in the future.
【关键词】 行人检测;
Caltech行人数据库;
积分通道特征;
快速多尺度检测;
【Key words】 Pedestrian Detection; Caltech Pedestrian Dataset; Integral Channel Features; Fast Multiscale Detection;
【Key words】 Pedestrian Detection; Caltech Pedestrian Dataset; Integral Channel Features; Fast Multiscale Detection;
【基金】 南京工程学院校级基金项目(No.QKJB2010012、No.QKJB201305)
- 【文献出处】 现代计算机(专业版) ,Modern Computer , 编辑部邮箱 ,2014年32期
- 【分类号】TP391.41
- 【被引频次】1
- 【下载频次】89