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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…
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Keywords:
system;
refuse derived;
tracking detection;
detection ... See more keywords
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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…
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Keywords:
appearance;
deformable convolution;
tracking detection;
gated fusion ... See more keywords
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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…
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Keywords:
detection;
network;
live object;
object tracking ... See more keywords
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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…
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Keywords:
detection;
fast face;
face tracking;
monitoring ... See more keywords