Articles with "rgb thermal" as a keyword



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Response map evaluation for RGBT tracking

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Published in 2022 at "Neural Computing and Applications"

DOI: 10.1007/s00521-021-06704-1

Abstract: In recent years, RGB and thermal sensors are widely used. There is complementary information from these two types of sensors. A fundamental task which arises in this domain is RGBT tracking. It is a challenging… read more here.

Keywords: map evaluation; response; rgbt tracking; response map ... See more keywords
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Non-contact breathing monitoring by integrating RGB and thermal imaging via RGB-thermal image registration

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Published in 2021 at "Biocybernetics and Biomedical Engineering"

DOI: 10.1016/j.bbe.2021.07.002

Abstract: Abstract Altered breathing rate is an important sign of disease status. Currently used machine-based monitoring of the breathing rate includes contact with the body, which may result in pain and discomfort. In this paper, a… read more here.

Keywords: rgb thermal; breathing rate; contact breathing; contact ... See more keywords
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In-depth investigation of applied digital photogrammetry to imagery-based RGB and thermal infrared aerial inspection of large-scale photovoltaic installations

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Published in 2021 at "Remote Sensing Applications: Society and Environment"

DOI: 10.1016/j.rsase.2021.100576

Abstract: Abstract We conduct a comprehensive in-depth investigation of applied digital aerial photogrammetry to imagery-based inspection of large-scale photovoltaic installations. A varied collection of RGB and thermal datasets are collected and processed with different parameters, then… read more here.

Keywords: imagery; rgb thermal; photogrammetry; imagery based ... See more keywords
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Cross-Collaborative Fusion-Encoder Network for Robust RGB-Thermal Salient Object Detection

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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3184840

Abstract: With the prevalence of thermal cameras, RGB-T multi-modal data have become more available for salient object detection (SOD) in complex scenes. Most RGB-T SOD works first individually extract RGB and thermal features from two separate… read more here.

Keywords: network; salient object; rgb; cross ... See more keywords
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LSNet: Lightweight Spatial Boosting Network for Detecting Salient Objects in RGB-Thermal Images

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Published in 2023 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2023.3242775

Abstract: Most recent methods for RGB (red–green–blue)-thermal salient object detection (SOD) involve several floating-point operations and have numerous parameters, resulting in slow inference, especially on common processors, and impeding their deployment on mobile devices for practical… read more here.

Keywords: boosting; size; batch size; rgb thermal ... See more keywords
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Position-Aware Relation Learning for RGB-Thermal Salient Object Detection

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Published in 2022 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2023.3270801

Abstract: Salient object detection (SOD) is an important task in computer vision that aims to identify visually conspicuous regions in images. RGB-Thermal SOD combines two spectra to achieve better segmentation results. However, most existing methods for… read more here.

Keywords: salient object; salient; object detection; aware relation ... See more keywords
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MFFENet: Multiscale Feature Fusion and Enhancement Network For RGB–Thermal Urban Road Scene Parsing

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Published in 2022 at "IEEE Transactions on Multimedia"

DOI: 10.1109/tmm.2021.3086618

Abstract: Compared with traditional handcrafted features, deep learning has greatly improved the performance of scene parsing. However, it remains challenging under various environmental conditions caused by imaging limitations. Thermal imaging cameras have several advantages over cameras… read more here.

Keywords: fusion; feature fusion; rgb; rgb thermal ... See more keywords