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Robust Visual Detection-Learning-Tracking Framework for Autonomous Aerial Refueling of UAVs
Yin, Yingjie; Wang, Xingang; Xu, De; Liu, Fangfang; Wang, Yinglu; Wu, Wenqi
Source PublicationIEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
2016-03-01
Volume65Issue:3Pages:510-521
SubtypeArticle
AbstractIn 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.
KeywordAerial Refueling Linear Support Vector Machine (Svm) Structured Svm Unmanned Aerial Vehicles (Uavs) Visual Detection Visual Tracking
WOS HeadingsScience & Technology ; Technology
DOI10.1109/TIM.2015.2509318
WOS KeywordTEXTURE CLASSIFICATION ; ROTATION-INVARIANT ; OBJECT TRACKING ; LOW-RANK ; REPRESENTATION ; NAVIGATION ; PATTERN ; SYSTEM ; POSE
Indexed BySCI
Language英语
Funding OrganizationNational 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 Research AreaEngineering ; Instruments & Instrumentation
WOS SubjectEngineering, Electrical & Electronic ; Instruments & Instrumentation
WOS IDWOS:000370733500003
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11347
Collection精密感知与控制研究中心_精密感知与控制
AffiliationChinese Acad Sci, Res Ctr Precis Sensing & Control, Inst Automat, Beijing 100190, Peoples R China
Recommended Citation
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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