A Performance Evaluation Scheme for Multiple Object Tracking with HFSWR

doi:10.3390/s19061393

CORC > 自然资源部第一海洋研究所 > 自然资源部第一海洋研究所 > 业务部门 > 海洋物理与遥感研究室

	A Performance Evaluation Scheme for Multiple Object Tracking with HFSWR
	Wang, Kun 1; Zhang, Pengju 1; Niu, Jiong 1; Sun, Weifeng 2; Zhao, Lun 1; Ji, Yonggang 3
刊名	SENSORS
	2019-03-02
卷号	19 期号:6
关键词	multiple object tracking HFSWR performance evaluation target motion analysis motion pattern metrics evolutionary computation
ISSN号	1424-8220
DOI	10.3390/s19061393
英文摘要	High-frequency surface wave radar (HFSWR) can detect and continuously track ship objects in real time and beyond the horizon. When ships navigate in a sea area, their motions in a time period form a scenario. The diversity and complexity of the motion scenarios make it difficult to accurately track ships, in which failures such as track fragmentation (TF) are frequently observed. However, it is still unclear how and to what degrees the motions of ships affect the tracking performance, especially which motion patterns can cause tracking failures. This paper addresses this problem and attempts to undertake a first step towards providing an intensive quantitative performance assessment and vulnerability detection scheme for ship-tracking algorithms by proposing an evolutionary and data-mining-based approach. Low-dimensional scenarios in terms of multiple maneuvering ship objects are generated using a grammar-based model. Closed-loop feedback is introduced using evolutionary computation to efficiently collect scenarios that cause more and more tracking performance loss, which provides diversified cases for analysing using data-mining technique to discover indicators of tracking vulnerability. Results on different tracking algorithms show that more cluster and convergence patterns and longer duration of our convoy and cluster patterns in the scenarios can cause severer TF to HFSWR ship tracking.
资助项目	National Natural Science Foundation of China[61601428] ; National Natural Science Foundation of China[61671166]
WOS研究方向	Chemistry ; Electrochemistry ; Instruments & Instrumentation
语种	英语
出版者	MDPI
WOS记录号	WOS:000465520200082
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/21477]
专题	业务部门_海洋物理与遥感研究室
通讯作者	Niu, Jiong
作者单位	1.Ocean Univ China, Coll Engn, Qingdao 266100, Shandong, Peoples R China 2.China Univ Petr, Coll Informat & Control Engn, Qingdao 266580, Shandong, Peoples R China 3.State Ocean Adm, Inst Oceanog 1, Qingdao 266061, Peoples R China
推荐引用方式 GB/T 7714	Wang, Kun,Zhang, Pengju,Niu, Jiong,et al. A Performance Evaluation Scheme for Multiple Object Tracking with HFSWR[J]. SENSORS,2019,19(6).
APA	Wang, Kun,Zhang, Pengju,Niu, Jiong,Sun, Weifeng,Zhao, Lun,&Ji, Yonggang.(2019).A Performance Evaluation Scheme for Multiple Object Tracking with HFSWR.SENSORS,19(6).
MLA	Wang, Kun,et al."A Performance Evaluation Scheme for Multiple Object Tracking with HFSWR".SENSORS 19.6(2019).