FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4316021904> ?p ?o ?g. }

• W4316021904 endingPage "15" @default.
• W4316021904 startingPage "1" @default.
• W4316021904 abstract "Accurate metro passenger detection is considered a fundamental technique for the smart metro station. The major challenge is false positives (FPs) when hunting for passengers in metro carriages and stations. This article provides an in-depth analysis to reveal the reasons for this problem in the two-stage convolutional neural network (CNN)-based detector and proposes a novel two-mode refined proposals algorithm to address the problem, which includes cascade mode and intrinsic information mode, or CRP and IRP algorithms for short. Aided by the two-mode refined Proposals algorithm, this article designs two small but fast and accurate pedestrian detectors: MetroNext-CRP and MetroNext-IRP to meet the application requirements of different tasks. Based on various challenging benchmark datasets and two metro scene datasets, the experimental results have demonstrated that the two-mode refined proposals algorithm is effective and can improve pedestrian detection accuracy by removing the FPs. Compared with the existing state-of-the-art detection networks, MetroNext-CRP achieves competitive detection results with acceptable computational cost and MetroNext-IRP demonstrates better detection accuracy with fast inference speed and without extra memory consumption, thus providing a practical solution for pedestrian detection tasks on various hardware platforms, particularly tailored to edge devices. Finally, the two-mode MetroNexts are deployed in a metro’s onboard computer, and the experiments in real-life campus and metro scenes further demonstrate the feasibility of the two detectors, especially the field experiments in metro scenes strongly support that they can be served as a smart instrument to provide accurate passenger position information to metro operators in complicated and realistic metro scenes." @default.
• W4316021904 created "2023-01-14" @default.
• W4316021904 creator A5038335920 @default.
• W4316021904 creator A5051242607 @default.
• W4316021904 creator A5058600941 @default.
• W4316021904 creator A5090799743 @default.
• W4316021904 date "2023-01-01" @default.
• W4316021904 modified "2023-10-16" @default.
• W4316021904 title "A Smart Metro Passenger Detector Based on Two Mode MetroNexts" @default.
• W4316021904 cites W2031454541 @default.
• W4316021904 cites W2036490799 @default.
• W4316021904 cites W2104671481 @default.
• W4316021904 cites W2125066085 @default.
• W4316021904 cites W2156547346 @default.
• W4316021904 cites W2159386181 @default.
• W4316021904 cites W2161969291 @default.
• W4316021904 cites W2285660444 @default.
• W4316021904 cites W2291533986 @default.
• W4316021904 cites W2411655674 @default.
• W4316021904 cites W2497039038 @default.
• W4316021904 cites W2523020334 @default.
• W4316021904 cites W2534262995 @default.
• W4316021904 cites W2548197316 @default.
• W4316021904 cites W2565639579 @default.
• W4316021904 cites W2594507094 @default.
• W4316021904 cites W2624405149 @default.
• W4316021904 cites W2741620214 @default.
• W4316021904 cites W2782811019 @default.
• W4316021904 cites W2792824754 @default.
• W4316021904 cites W2894820835 @default.
• W4316021904 cites W2899077285 @default.
• W4316021904 cites W2933493913 @default.
• W4316021904 cites W2956268511 @default.
• W4316021904 cites W2963315052 @default.
• W4316021904 cites W2963579094 @default.
• W4316021904 cites W2963681621 @default.
• W4316021904 cites W2963998989 @default.
• W4316021904 cites W2964027659 @default.
• W4316021904 cites W2964241181 @default.
• W4316021904 cites W3010535780 @default.
• W4316021904 cites W3025191651 @default.
• W4316021904 cites W3034971973 @default.
• W4316021904 cites W3089807207 @default.
• W4316021904 cites W3090757175 @default.
• W4316021904 cites W3106234331 @default.
• W4316021904 cites W3109173645 @default.
• W4316021904 cites W3138516171 @default.
• W4316021904 cites W3151111735 @default.
• W4316021904 cites W3173114505 @default.
• W4316021904 cites W4226336530 @default.
• W4316021904 cites W4283457846 @default.
• W4316021904 cites W4312554764 @default.
• W4316021904 doi "https://doi.org/10.1109/tim.2022.3230459" @default.
• W4316021904 hasPublicationYear "2023" @default.
• W4316021904 type Work @default.
• W4316021904 citedByCount "0" @default.
• W4316021904 crossrefType "journal-article" @default.
• W4316021904 hasAuthorship W4316021904A5038335920 @default.
• W4316021904 hasAuthorship W4316021904A5051242607 @default.
• W4316021904 hasAuthorship W4316021904A5058600941 @default.
• W4316021904 hasAuthorship W4316021904A5090799743 @default.
• W4316021904 hasConcept C111919701 @default.
• W4316021904 hasConcept C127413603 @default.
• W4316021904 hasConcept C13280743 @default.
• W4316021904 hasConcept C154945302 @default.
• W4316021904 hasConcept C162307627 @default.
• W4316021904 hasConcept C185798385 @default.
• W4316021904 hasConcept C205649164 @default.
• W4316021904 hasConcept C22212356 @default.
• W4316021904 hasConcept C2777113093 @default.
• W4316021904 hasConcept C2780156472 @default.
• W4316021904 hasConcept C41008148 @default.
• W4316021904 hasConcept C48677424 @default.
• W4316021904 hasConcept C64869954 @default.
• W4316021904 hasConcept C76155785 @default.
• W4316021904 hasConcept C79403827 @default.
• W4316021904 hasConcept C81363708 @default.
• W4316021904 hasConcept C94915269 @default.
• W4316021904 hasConceptScore W4316021904C111919701 @default.
• W4316021904 hasConceptScore W4316021904C127413603 @default.
• W4316021904 hasConceptScore W4316021904C13280743 @default.
• W4316021904 hasConceptScore W4316021904C154945302 @default.
• W4316021904 hasConceptScore W4316021904C162307627 @default.
• W4316021904 hasConceptScore W4316021904C185798385 @default.
• W4316021904 hasConceptScore W4316021904C205649164 @default.
• W4316021904 hasConceptScore W4316021904C22212356 @default.
• W4316021904 hasConceptScore W4316021904C2777113093 @default.
• W4316021904 hasConceptScore W4316021904C2780156472 @default.
• W4316021904 hasConceptScore W4316021904C41008148 @default.
• W4316021904 hasConceptScore W4316021904C48677424 @default.
• W4316021904 hasConceptScore W4316021904C64869954 @default.
• W4316021904 hasConceptScore W4316021904C76155785 @default.
• W4316021904 hasConceptScore W4316021904C79403827 @default.
• W4316021904 hasConceptScore W4316021904C81363708 @default.
• W4316021904 hasConceptScore W4316021904C94915269 @default.
• W4316021904 hasFunder F4320321001 @default.
• W4316021904 hasLocation W43160219041 @default.
• W4316021904 hasOpenAccess W4316021904 @default.

• next