Robust Visual Detection-Learning-Tracking Framework for Autonomous Aerial Refueling of UAVs

doi:10.1109/TIM.2015.2509318

CASIA OpenIR > 中国科学院工业视觉智能装备工程实验室 > 精密感知与控制

	Robust Visual Detection-Learning-Tracking Framework for Autonomous Aerial Refueling of UAVs
	Yin, Yingjie; Wang, Xingang; Xu, De; Liu, Fangfang; Wang, Yinglu; Wu, Wenqi
发表期刊	IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
	2016-03-01
卷号	65 期号:3 页码:510-521
文章类型	Article
摘要	In this paper, we propose a robust visual detection-learning-tracking framework for autonomous aerial refueling of unmanned aerial vehicles. Two classifiers (D-classifier and T-classifier) are defined in the proposed framework. The D-classifier is a robust linear support vector machine (SVM) classifier trained offline for detecting the drogue object of aerial refueling and a low-dimensional normalized robust local binary pattern feature is proposed to describe the drogue object in the D-classifier. The T-classifier is a state-based structured SVM classifier trained online for tracking the drogue object. A combination strategy between the D-classifier and the T-classifier is proposed in the framework. The D-classifier is used to assess if some positive support vectors in the T-classifier are required to be replaced by positive examples with density peaks. The experimental results on several challenging video sequences validate the effectiveness and robustness of our proposed framework.
关键词	Aerial Refueling Linear Support Vector Machine (Svm) Structured Svm Unmanned Aerial Vehicles (Uavs) Visual Detection Visual Tracking
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TIM.2015.2509318
关键词[WOS]	TEXTURE CLASSIFICATION ; ROTATION-INVARIANT ; OBJECT TRACKING ; LOW-RANK ; REPRESENTATION ; NAVIGATION ; PATTERN ; SYSTEM ; POSE
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61573349 ; Innovation Fund Project of the Chinese Academy of Sciences(CXJJ-14-M08) ; National High Technology Research and Development Program of China (863 Program)(2015AA042308) ; 61227804 ; 61421004)
WOS研究方向	Engineering ; Instruments & Instrumentation
WOS类目	Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号	WOS:000370733500003
引用统计	被引频次：58[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/11347
专题	中国科学院工业视觉智能装备工程实验室_精密感知与控制
作者单位	Chinese Acad Sci, Res Ctr Precis Sensing & Control, Inst Automat, Beijing 100190, Peoples R China
第一作者单位	精密感知与控制研究中心
推荐引用方式 GB/T 7714	Yin, Yingjie,Wang, Xingang,Xu, De,et al. Robust Visual Detection-Learning-Tracking Framework for Autonomous Aerial Refueling of UAVs[J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,2016,65(3):510-521.
APA	Yin, Yingjie,Wang, Xingang,Xu, De,Liu, Fangfang,Wang, Yinglu,&Wu, Wenqi.(2016).Robust Visual Detection-Learning-Tracking Framework for Autonomous Aerial Refueling of UAVs.IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT,65(3),510-521.
MLA	Yin, Yingjie,et al."Robust Visual Detection-Learning-Tracking Framework for Autonomous Aerial Refueling of UAVs".IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 65.3(2016):510-521.

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