南方科技大学知识苑(SUSTech KC): UAV Based Target Tracking and Recognition

题名	UAV Based Target Tracking and Recognition
作者	Xiang, Tian 1; Jiang, Fan1 ; Lan, Gongjin1 ; Sun, Jiaming 1; Liu, Guocheng1 ; Hao, Qi1 ; Wang, Cong 2
通讯作者	Xiang, Tian
DOI	10.1109/MFI.2016.7849521
发表日期	2016
ISBN	978-1-4673-9709-4
会议录名称	2016 IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS (MFI)
卷号	0
页码	400-405
会议日期	19-21 Sept. 2016
会议地点	Baden-Baden, Germany
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
出版者	IEEE
摘要	In this paper, we develop a quadrotor UAV based target tracking and recognition system, which includes an intelligent gimbal sub-system for accurate camera positioning and fast image processing. A set of robust consensus-based algorithms are developed for objects tracking, in addition to moving background processing techniques. A neural network learning based database is used to improve target recognition performance. Moreover, a Geographic Information System (GIS) is used to provide geo-location, environmental, and contextual information for the tracked objects. Experimental and simulation results have demonstrated the robustness of the proposed target tracking and recognition framework.
关键词	Target tracking Databases Target recognition Feature extraction Cameras Geographic information systems Robustness
学校署名	第一 ; 通讯
语种	英语
相关链接	[来源记录]
收录类别	CPCI-S ; EI
资助项目	Southern University of Science and Technology Research Committee[FRG-SUSTC1501A-29]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS记录号	WOS:000405714400064
EI入藏号	20171103451710
EI主题词	Clutter (information theory) ; Image processing ; Intelligent systems ; Unmanned aerial vehicles (UAV)
EI分类号	Aircraft, General:652.1 ; Information Theory and Signal Processing:716.1 ; Radar Systems and Equipment:716.2 ; Artificial Intelligence:723.4
来源库	Web of Science
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7849521
引用统计	被引频次[WOS]：8
成果类型	会议论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/24949
专题	工学院_计算机科学与工程系
作者单位	1.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Guangdong, Peoples R China 2.South China Univ Technol, Sch Automat Sci & Engn, Guangzhou 510641, Guangdong, Peoples R China
第一作者单位	计算机科学与工程系
通讯作者单位	计算机科学与工程系
第一作者的第一单位	计算机科学与工程系
推荐引用方式 GB/T 7714	Xiang, Tian,Jiang, Fan,Lan, Gongjin,et al. UAV Based Target Tracking and Recognition[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2016:400-405.