Articles with "detection localization" as a keyword



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A dynamic fusion system for fast nuclear source detection and localization with mobile sensor networks

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Published in 2018 at "Applied Stochastic Models in Business and Industry"

DOI: 10.1002/asmb.2293

Abstract: This paper proposes a dynamic system, with an associated fusion learning inference procedure, to perform real-time detection and localization of nuclear sources using a network of mobile sensors. This is motivated by the need for… read more here.

Keywords: nuclear source; detection; system; fusion ... See more keywords
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Text detection and localization in natural scene images based on text awareness score

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Published in 2018 at "Applied Intelligence"

DOI: 10.1007/s10489-018-1338-4

Abstract: Text detection & localization plays an essential role in finding the textual information from natural scene images that can be used in robot navigation, license plate detection, and wearable applications. In this work, we present… read more here.

Keywords: text awareness; text; detection localization; text detection ... See more keywords
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Anomaly detection and localization in crowded scenes using connected component analysis

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Published in 2017 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-017-5061-7

Abstract: This paper presents a new method for detecting abnormal events in the surveillance systems. This method does not employ object detection or tracking and thus it does not fail in the crowded scenes. In the… read more here.

Keywords: detection; anomaly detection; scenes using; crowded scenes ... See more keywords
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Detection and localization of distal radius fractures: Deep learning system versus radiologists.

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Published in 2020 at "European journal of radiology"

DOI: 10.1016/j.ejrad.2020.108925

Abstract: PURPOSE To evaluate a deep learning based image analysis software for the detection and localization of distal radius fractures. METHOD A deep learning system (DLS) was trained on 524 wrist radiographs (166 showing fractures). Performance… read more here.

Keywords: deep learning; sensitivity; localization distal; performance ... See more keywords
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Damage Detection and Localization in Pipeline Using Sparse Estimation of Ultrasonic Guided Waves Signals

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Published in 2018 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2018.09.688

Abstract: Abstract This paper focuses on the development of a method for damage detection and localization in pipeline structures. These structures are subject to variation of environmental and operational conditions (EOCs) which have an impact on… read more here.

Keywords: damage detection; estimation; pipeline; damage ... See more keywords
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Anomalous entities detection and localization in pedestrian flows

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Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.02.045

Abstract: Abstract We propose a novel Gaussian kernel based integration model (GKIM) for anomalous entities detection and localization in pedestrian flows. The GKIM integrates spatio-temporal features for efficient and robust motion representation to capture the distinctive… read more here.

Keywords: detection; localization pedestrian; anomalous entities; entities detection ... See more keywords
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Video anomaly detection and localization via multivariate gaussian fully convolution adversarial autoencoder

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Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.08.044

Abstract: Abstract In this paper, we present a novel deep learning based method for video anomaly detection and localization. The key idea of our approach is that the latent space representations of normal samples are trained… read more here.

Keywords: multivariate gaussian; video; detection; video anomaly ... See more keywords
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A weakly supervised framework for abnormal behavior detection and localization in crowded scenes

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Published in 2020 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.11.087

Abstract: Abstract In this paper, a weakly supervised framework is proposed for Abnormal Behavior Detection and Localization (ABDL) in the scenes. First, the objects in the scene such as pedestrians, vehicles, etc. are detected using the… read more here.

Keywords: abnormal behavior; weakly supervised; framework; behavior detection ... See more keywords
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Crack detection and localization in a fluid pipeline based on acoustic emission signals

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Published in 2021 at "Mechanical Systems and Signal Processing"

DOI: 10.1016/j.ymssp.2020.107254

Abstract: Abstract This paper introduces a novel approach to crack detection and localization in a pipeline transporting fluid under high pressure. From acoustic emission signals acquired by two R15i-AST sensors at two ends of a fluid… read more here.

Keywords: pipeline; emission; detection localization; acoustic emission ... See more keywords
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Automated Anomaly Detection and Localization in Sewer Inspection Videos Using Proportional Data Modeling and Deep Learning–Based Text Recognition

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Published in 2020 at "Journal of Infrastructure Systems"

DOI: 10.1061/(asce)is.1943-555x.0000553

Abstract: AbstractIn recent decades, closed circuit television (CCTV) has been the most used tool for visually inspecting the internal condition of pipelines. However, CCTV inspection requires long videos to... read more here.

Keywords: automated anomaly; anomaly detection; sewer inspection; detection localization ... See more keywords
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An Approach for Detection and Localization of Missing Gate Faults in Reversible Circuit

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Published in 2020 at "Iete Journal of Research"

DOI: 10.1080/03772063.2020.1772127

Abstract: Power consumption issues in VLSI circuits have resulted in the emergence of promising technologies – like reversible computing. The introduction of such computing paradigm has turned out to be bene... read more here.

Keywords: localization missing; approach detection; missing gate; faults reversible ... See more keywords