摘要
行人检测是计算机视觉领域极具挑战性的研究热点,它在智能交通、机器人开发和视频监控等领域具有重要应用。从行人检测所采用的特征着手,对现有的行人检测方法进行了分类和评述,分析了各类方法的优缺点,同时,介绍了常用的行人检测数据库的特点,最后分析了行人检测研究中存在的难题并对未来的发展做出展望。
Pedestrian detection is an active and challenging research topic in the field of computer vision. It has a lot of important applications in intel- ligent transportation, robot development, video surveillance and so on. Many different pedestrian detection methods are proposed. The typical pedestrian methods are classified into three categories according to the image features used. Merits and demerits of each class are discussed in detail. At the same time, the characteristics of some commonly used pedestrian datasets are introduced. Some problems with this research topic are analyzed. Finally the trend of this work is given.
出处
《电视技术》
北大核心
2014年第3期157-162,共6页
Video Engineering
基金
国家自然科学基金项目(61070043
60972163)
"十二五"国家科技支撑计划项目(2012BAD10B01)
信息处理与自动化技术浙江省重中之重学科开放基金项目(201100808)
浙江省移动网应用技术重点实验室开放基金项目(MNATKL2012001
MNATKL2012007)
关键词
行人检测
特征选取
行人数据库
pedestrian detection
feature selection
pedestrian detection database
