Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386432009> ?p ?o ?g. }
- W4386432009 endingPage "5" @default.
- W4386432009 startingPage "1" @default.
- W4386432009 abstract "Unmanned aerial vehicle (UAV) visual tracking has been a hot research topic in the field of remote sensing. Many filter-based UAV trackers have achieved excellent performance. However, existing methods do not distinguish the importance of different feature channels with semantic information and background information, which may hinder the tracker’s ability to adapt to changing environments. To deal with this problem, we propose a channel attentional correlation filters learning model (CACF). Specifically, we introduce the fuzzy C-means algorithm to pre-classify the extracted features and then perform weight penalty to feature channels with different membership degrees. In addition, the filter can adapt more effectively to the background’s rapid changes during the UAV tracking process by learning the second-order difference between adjacent three frame features. Finally, the comparative experiments are conducted on three mainstream UAV datasets, including DTB70, UAV123@10fps, and UAVDT. The experimental results demonstrate the effectiveness of the proposed method. The tracking performance of CACF surpasses that of other state-of-the-art trackers." @default.
- W4386432009 created "2023-09-05" @default.
- W4386432009 creator A5012322217 @default.
- W4386432009 creator A5022802322 @default.
- W4386432009 creator A5029292003 @default.
- W4386432009 creator A5084251229 @default.
- W4386432009 date "2023-01-01" @default.
- W4386432009 modified "2023-10-12" @default.
- W4386432009 title "Channel Attentional Correlation Filters Learning with Second-Order Difference for UAV Tracking" @default.
- W4386432009 cites W1857884451 @default.
- W4386432009 cites W1973880112 @default.
- W4386432009 cites W2518876086 @default.
- W4386432009 cites W2557641257 @default.
- W4386432009 cites W2599547527 @default.
- W4386432009 cites W2604701225 @default.
- W4386432009 cites W2606221507 @default.
- W4386432009 cites W2681067697 @default.
- W4386432009 cites W2742165450 @default.
- W4386432009 cites W2798842862 @default.
- W4386432009 cites W2955983623 @default.
- W4386432009 cites W2962824803 @default.
- W4386432009 cites W2963030525 @default.
- W4386432009 cites W2964069521 @default.
- W4386432009 cites W2964253307 @default.
- W4386432009 cites W2987346479 @default.
- W4386432009 cites W2992224095 @default.
- W4386432009 cites W3024883262 @default.
- W4386432009 cites W3035466700 @default.
- W4386432009 cites W3088021439 @default.
- W4386432009 cites W3089537495 @default.
- W4386432009 cites W3095404142 @default.
- W4386432009 cites W3096121255 @default.
- W4386432009 cites W3097992810 @default.
- W4386432009 cites W3102624093 @default.
- W4386432009 cites W3108519869 @default.
- W4386432009 cites W3120974171 @default.
- W4386432009 cites W3135450171 @default.
- W4386432009 cites W3167454939 @default.
- W4386432009 cites W3185438343 @default.
- W4386432009 cites W3203510176 @default.
- W4386432009 cites W3206176693 @default.
- W4386432009 cites W3207718618 @default.
- W4386432009 cites W4214872590 @default.
- W4386432009 cites W4285222391 @default.
- W4386432009 cites W4288769510 @default.
- W4386432009 cites W4294643336 @default.
- W4386432009 cites W4304606245 @default.
- W4386432009 cites W4317935402 @default.
- W4386432009 cites W4376133601 @default.
- W4386432009 doi "https://doi.org/10.1109/lgrs.2023.3311441" @default.
- W4386432009 hasPublicationYear "2023" @default.
- W4386432009 type Work @default.
- W4386432009 citedByCount "0" @default.
- W4386432009 crossrefType "journal-article" @default.
- W4386432009 hasAuthorship W4386432009A5012322217 @default.
- W4386432009 hasAuthorship W4386432009A5022802322 @default.
- W4386432009 hasAuthorship W4386432009A5029292003 @default.
- W4386432009 hasAuthorship W4386432009A5084251229 @default.
- W4386432009 hasConcept C106131492 @default.
- W4386432009 hasConcept C111919701 @default.
- W4386432009 hasConcept C126042441 @default.
- W4386432009 hasConcept C127162648 @default.
- W4386432009 hasConcept C138885662 @default.
- W4386432009 hasConcept C154945302 @default.
- W4386432009 hasConcept C15744967 @default.
- W4386432009 hasConcept C19417346 @default.
- W4386432009 hasConcept C2775936607 @default.
- W4386432009 hasConcept C2776401178 @default.
- W4386432009 hasConcept C31258907 @default.
- W4386432009 hasConcept C31972630 @default.
- W4386432009 hasConcept C41008148 @default.
- W4386432009 hasConcept C41895202 @default.
- W4386432009 hasConcept C56461940 @default.
- W4386432009 hasConcept C57501372 @default.
- W4386432009 hasConcept C76155785 @default.
- W4386432009 hasConcept C98045186 @default.
- W4386432009 hasConceptScore W4386432009C106131492 @default.
- W4386432009 hasConceptScore W4386432009C111919701 @default.
- W4386432009 hasConceptScore W4386432009C126042441 @default.
- W4386432009 hasConceptScore W4386432009C127162648 @default.
- W4386432009 hasConceptScore W4386432009C138885662 @default.
- W4386432009 hasConceptScore W4386432009C154945302 @default.
- W4386432009 hasConceptScore W4386432009C15744967 @default.
- W4386432009 hasConceptScore W4386432009C19417346 @default.
- W4386432009 hasConceptScore W4386432009C2775936607 @default.
- W4386432009 hasConceptScore W4386432009C2776401178 @default.
- W4386432009 hasConceptScore W4386432009C31258907 @default.
- W4386432009 hasConceptScore W4386432009C31972630 @default.
- W4386432009 hasConceptScore W4386432009C41008148 @default.
- W4386432009 hasConceptScore W4386432009C41895202 @default.
- W4386432009 hasConceptScore W4386432009C56461940 @default.
- W4386432009 hasConceptScore W4386432009C57501372 @default.
- W4386432009 hasConceptScore W4386432009C76155785 @default.
- W4386432009 hasConceptScore W4386432009C98045186 @default.
- W4386432009 hasFunder F4320321001 @default.
- W4386432009 hasFunder F4320321921 @default.
- W4386432009 hasLocation W43864320091 @default.
- W4386432009 hasOpenAccess W4386432009 @default.