摘要
行人跟踪和检测在智能交通、汽车自动驾驶、视频监控系统中均有广泛的应用。着重研究了基于统计学习的行人检测,首先对视频监控中的行人检测进行了详细的研究,介绍了行人检测模型;其次介绍了HOG特征的提取和SVM分类器;最后构建了一个基于HOG和SVM的视频监控行人检测系统。
Pedestrian tracking and detection are widely used in intelligent transportation, automatic vehicledriving and video monitoring system. This paper focuses on the study of pedestrian detection based on statis-tics. Firstly, it studies the pedestrian detection of video monitoring in detail and introduces the pedestrian de-tection model. Secondly, it introduces the extraction of HOG features and SVM classifier. Finally, it con-structs a video monitoring system based on HOG and SVM.
出处
《中国有线电视》
2017年第12期1413-1415,共3页
China Digital Cable TV
基金
2017年甘肃省高等学校科研项目
甘肃政法学院重点科研项目(2016XZDLW15)资助
关键词
行人检测
方向梯度直方图
支持向量机
pedestrian detection
histogram of gradient
support vector machine
