QQ客服 官方微博 反馈留言

	Improved pedestrian detection algorithm in nighttime
	Jun-feng, G.E. ; Luo Yu-pin
	2010-05-06 ; 2010-05-06
关键词	Practical/ image segmentation object detection support vector machines target tracking/ dual threshold segmentation multiple-object-tracking-based framework nighttime pedestrian detection dynamic scenes illumination false detection rate SVM multiple object tracking/ B6135 Optical, image and video signal processing C5260B Computer vision and image processing techniques C6170K Knowledge engineering techniques
中文摘要	This paper proposes a dual threshold segmentation algorithm and a multiple-object-tracking-based framework for the problems of nighttime pedestrian detection in dynamic scenes, such as segmentation greatly effected by illumination and high false detection rate. The segmentation method performs well even if the brightness of pedestrians is nonuniform. In the framework, an integrated decision can be made from the combination of the detection results in multiple frames. The detection rate of the system is greatly improved by the combination of SVM and the multiple object tracking with lower computation and is much higher than that of the normal systems.
语种	中文 ; 中文
出版者	Editorial Board of Computer Engineering ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/9526]
专题	清华大学
推荐引用方式 GB/T 7714	Jun-feng, G.E.,Luo Yu-pin. Improved pedestrian detection algorithm in nighttime[J],2010, 2010.
APA	Jun-feng, G.E.,&Luo Yu-pin.(2010).Improved pedestrian detection algorithm in nighttime..
MLA	Jun-feng, G.E.,et al."Improved pedestrian detection algorithm in nighttime".(2010).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。