Articles with "tracking detection" as a keyword



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3-D Refuse-Derived Fuel Particle Tracking-by-Detection Using a Plenoptic Camera System

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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2022.3217858

Abstract: Multiple-particle tracking-by-detection is a widely investigated issue in image processing. This article presents approaches to detecting and tracking various refuse-derived fuel particles in an industrial environment using a plenoptic camera system, which is able to… read more here.

Keywords: system; refuse derived; tracking detection; detection ... See more keywords
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Deformable Object Tracking With Gated Fusion

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Published in 2019 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2019.2902784

Abstract: The tracking-by-detection framework receives growing attention through the integration with the convolutional neural networks (CNNs). Existing tracking-by-detection-based methods, however, fail to track objects with severe appearance variations. This is because the traditional convolutional operation is… read more here.

Keywords: appearance; deformable convolution; tracking detection; gated fusion ... See more keywords
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Integration Between Cascade Region-Based Convolutional Neural Network and Bi-Directional Feature Pyramid Network for Live Object Tracking and Detection

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Published in 2021 at "Traitement du Signal"

DOI: 10.18280/ts.380437

Abstract: The current target tracking and detection algorithms often have mistakes and omissions when the target is occluded or small. To overcome the defects, this paper integrates bi-directional feature pyramid network (BiFPN) into cascade region-based convolutional… read more here.

Keywords: detection; network; live object; object tracking ... See more keywords
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Fast Face Tracking-by-Detection Algorithm for Secure Monitoring

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Published in 2019 at "Applied Sciences"

DOI: 10.3390/app9183774

Abstract: This work proposes a fast face tracking-by-detection (FFTD) algorithm that can perform tracking, face detection and discrimination tasks. On the basis of using the kernelized correlation filter (KCF) as the basic tracker, multitask cascade convolutional… read more here.

Keywords: detection; fast face; face tracking; monitoring ... See more keywords