12.1.4.4.1 RGB and Thermal Fusion for Object Extraction

Chapter Contents (Back)
Sensor Fusion. Infrared. Thermal Imaging. Object Detection.

Gautam, R.S., Singh, D., Mittal, A.,
A fuzzy logic approach to detect hotspots with NOAA/AVHRR image using multi-channel information fusion technique,
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Nagla, K.S., Uddin, M.[Moin], Singh, D.[Dilbag], Kumar, R.[Rajeev],
Object identification in dynamic environment using sensor fusion,
AIPR10(1-4).
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Ulusoy, I., Yuruk, H.,
New method for the fusion of complementary information from infrared and visual images for object detection,
IET-IPR(5), No. 1, February 2011, pp. 36-48.
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Tu, Z.Z.[Zheng-Zheng], Li, Z.[Zhun], Li, C.L.[Cheng-Long], Lang, Y.[Yang], Tang, J.[Jin],
Multi-Interactive Dual-Decoder for RGB-Thermal Salient Object Detection,
IP(30), 2021, pp. 5678-5691.
IEEE DOI 2106
Decoding, Feature extraction, Object detection, Semantics, Fuses, Task analysis, Streaming media, Salient object detection, multiple interactions BibRef

Xiao, X.W.[Xiao-Wu], Wang, B.[Bo], Miao, L.J.[Ling-Juan], Li, L.H.[Lin-Hao], Zhou, Z.Q.[Zhi-Qiang], Ma, J.L.[Jin-Lei], Dong, D.D.[Dan-Dan],
Infrared and Visible Image Object Detection via Focused Feature Enhancement and Cascaded Semantic Extension,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
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Zhou, H.[Hang], Sun, M.[Min], Ren, X.[Xiang], Wang, X.Y.[Xiu-Yuan],
Visible-Thermal Image Object Detection via the Combination of Illumination Conditions and Temperature Information,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
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Wang, Q.W.[Qing-Wang], Chi, Y.[Yongke], Shen, T.[Tao], Song, J.[Jian], Zhang, Z.F.[Zi-Feng], Zhu, Y.[Yan],
Improving RGB-Infrared Object Detection by Reducing Cross-Modality Redundancy,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
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And:
Improving Rgb-Infrared Pedestrian Detection by Reducing Cross-Modality Redundancy,
ICIP22(526-530)
IEEE DOI 2211
Adaptation models, Fuses, Redundancy, Lighting, Detectors, Feature extraction, Minimization, RGB-Infrared images, mutual information minimization BibRef

Ju, M.[Mingye], He, C.M.[Chun-Ming], Liu, J.[Juping], Kang, B.[Bin], Su, J.[Jian], Zhang, D.[Dengyin],
IVF-Net: An Infrared and Visible Data Fusion Deep Network for Traffic Object Enhancement in Intelligent Transportation Systems,
ITS(24), No. 1, January 2023, pp. 1220-1234.
IEEE DOI 2301
Task analysis, Feature extraction, Data integration, Intelligent transportation systems, Data models, Image fusion, visible image BibRef

Wu, J.[Jiawen], Shen, T.[Tao], Wang, Q.W.[Qing-Wang], Tao, Z.M.[Zhi-Min], Zeng, K.[Kai], Song, J.[Jian],
Local Adaptive Illumination-Driven Input-Level Fusion for Infrared and Visible Object Detection,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Ben-Shoushan, R.[Ravit], Brook, A.[Anna],
Fused Thermal and RGB Imagery for Robust Detection and Classification of Dynamic Objects in Mixed Datasets via Pre-Trained High-Level CNN,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Zhang, X.C.[Xing-Chen], Demiris, Y.F.[Yi-Fannis],
Visible and Infrared Image Fusion Using Deep Learning,
PAMI(45), No. 8, August 2023, pp. 10535-10554.
IEEE DOI 2307
Image fusion, Transformers, Deep learning, Task analysis, Object tracking, Matlab, Learning systems, Deep learning, visible-infrared image fusion BibRef

Hu, S.M.[Shu-Ming], Zhao, F.[Fei], Lu, H.Z.[Huan-Zhang], Deng, Y.J.[Ying-Jie], Du, J.M.[Jin-Ming], Shen, X.L.[Xing-Lin],
Improving YOLOv7-Tiny for Infrared and Visible Light Image Object Detection on Drones,
RS(15), No. 13, 2023, pp. 3214.
DOI Link 2307
BibRef

Zhu, Y.H.[Yao-Hui], Sun, X.Y.[Xiao-Yu], Wang, M.[Miao], Huang, H.[Hua],
Multi-Modal Feature Pyramid Transformer for RGB-Infrared Object Detection,
ITS(24), No. 9, September 2023, pp. 9984-9995.
IEEE DOI 2310
BibRef

He, M.Z.[Ming-Zhou], Wu, Q.B.[Qing-Bo], Ngan, K.N.[King Ngi], Jiang, F.[Feng], Meng, F.M.[Fan-Man], Xu, L.F.[Lin-Feng],
Misaligned RGB-Infrared Object Detection via Adaptive Dual-Discrepancy Calibration,
RS(15), No. 19, 2023, pp. 4887.
DOI Link 2310
BibRef

Zhou, W.[Wujie], Zhu, Y.[Yun], Lei, J.S.[Jing-Sheng], Yang, R.[Rongwang], Yu, L.[Lu],
LSNet: Lightweight Spatial Boosting Network for Detecting Salient Objects in RGB-Thermal Images,
IP(32), 2023, pp. 1329-1340.
IEEE DOI 2303
Transfer learning, Boosting, Semantics, Prediction algorithms, Mobile handsets, Manifolds, Graphics processing units, efficient salient object detection BibRef

Zhou, H.[Heng], Tian, C.[Chunna], Zhang, Z.X.[Zhen-Xi], Li, C.Y.[Cheng-Yang], Ding, Y.X.[Yu-Xuan], Xie, Y.Q.[Yong-Qiang], Li, Z.B.[Zhong-Bo],
Position-Aware Relation Learning for RGB-Thermal Salient Object Detection,
IP(32), 2023, pp. 2593-2607.
IEEE DOI 2305
Transformers, Feature extraction, Decoding, Object detection, Merging, Task analysis, Level set, Salient object detection, position-aware relation learning BibRef

Zhou, H.[Heng], Tian, C.[Chunna], Zhang, Z.X.[Zhen-Xi], Li, C.Y.[Cheng-Yang], Xie, Y.Q.[Yong-Qiang], Li, Z.B.[Zhong-Bo],
Frequency-Aware Feature Aggregation Network with Dual-Task Consistency for RGB-T Salient Object Detection,
PR(146), 2024, pp. 110043.
Elsevier DOI 2311
RGB-thermal, Salient object detection, Frequency feature aggregation, Dual-task consistency BibRef

Feng, H.T.[Hang-Tao], Zhang, L.[Lu], Zhang, S.Q.[Si-Qi], Wang, D.[Dong], Yang, X.[Xu], Liu, Z.Y.[Zhi-Yong],
RTDOD: A large-scale RGB-thermal domain-incremental object detection dataset for UAVs,
IVC(140), 2023, pp. 104856.
Elsevier DOI Code:
WWW Link. 2312
Domain-incremental object detection, Dataset, RGB-T dataset, Object detection dataset, UAVs dataset, Object detection BibRef

Wang, Y.[Yike], Li, G.Y.[Gong-Yang], Liu, Z.[Zhi],
SGFNet: Semantic-Guided Fusion Network for RGB-Thermal Semantic Segmentation,
CirSysVideo(33), No. 12, December 2023, pp. 7737-7748.
IEEE DOI Code:
WWW Link. 2312
BibRef

Dong, S.H.[Shao-Hua], Zhou, W.[Wujie], Xu, C.[Caie], Yan, W.Q.[Wei-Qing],
EGFNet: Edge-Aware Guidance Fusion Network for RGB-Thermal Urban Scene Parsing,
ITS(25), No. 1, January 2024, pp. 657-669.
IEEE DOI 2402
Feature extraction, Semantics, Data mining, Image edge detection, Fuses, Task analysis, Visualization, Deep supervision, edge map, RGB-thermal urban scene parsing BibRef

Jiang, X.R.[Xiu-Rong], Hou, Y.F.[Yi-Fan], Tian, H.[Hui], Zhu, L.[Lin],
Mirror complementary transformer network for RGB-thermal salient object detection,
IET-CV(18), No. 1, 2024, pp. 15-32.
DOI Link Code:
WWW Link. 2403
image segmentation, object detection BibRef


El Ahmar, W.[Wassim], Massoud, Y.[Yahya], Kolhatkar, D.[Dhanvin], AlGhamdi, H.[Hamzah], Alja'Afreh, M.[Mohammad], Laganiere, R.[Robert], Hammoud, R.[Riad],
Enhanced Thermal-RGB Fusion for Robust Object Detection,
PBVS23(365-374)
IEEE DOI 2309
BibRef

Zhao, W.[Wenda], Xie, S.[Shigeng], Zhao, F.[Fan], He, Y.[You], Lu, H.C.[Hu-Chuan],
MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding from Object Detection,
CVPR23(13955-13965)
IEEE DOI 2309
BibRef

Arif, M.[Maliha], Yong, C.[Calvin], Mahalanobis, A.[Abhijit], Rahnavard, N.[Nazanin],
Background-Tolerant Object Classification With Embedded Segmentation Mask For Infrared and Color Imagery,
ICIP22(1546-1550)
IEEE DOI 2211
Training, Image segmentation, Image recognition, Shape, Image color analysis, Focusing, Data visualization, MS-COCO BibRef

Liu, J.Y.[Jin-Yuan], Fan, X.[Xin], Huang, Z.[Zhanbo], Wu, G.Y.[Guan-Yao], Liu, R.S.[Ri-Sheng], Zhong, W.[Wei], Luo, Z.X.[Zhong-Xuan],
Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection,
CVPR22(5792-5801)
IEEE DOI 2210
Visualization, Fuses, Object detection, Benchmark testing, Adversarial machine learning, Sensor systems, Datasets and evaluation BibRef

Ataman, F.C.[Ferhat Can], Akar, G.B.[Güzde Bozdagi],
Visible and Infrared Image Fusion Using Encoder-Decoder Network,
ICIP21(1779-1783)
IEEE DOI 2201
Performance evaluation, Image segmentation, Convolution, Focusing, Object detection, Real-time systems, infrared, visible images, encoder-decoder network BibRef

Berg, A., Johnander, J., Durand de Gevigney, F., Ahlberg, J., Felberg, M.,
Semi-Automatic Annotation of Objects in Visual-Thermal Video,
VOT19(2242-2251)
IEEE DOI 2004
image annotation, image segmentation, image sequences, learning (artificial intelligence), neural nets, visual object tracking BibRef

Changrampadi, M.H.[Mohamed H.], Yun, Y.X.[Yi-Xiao], Gu, I.Y.H.[Irene Y.H.],
Multi-class ada-boost classification of object poses through visual and infrared image information fusion,
ICPR12(2865-2868).
WWW Link. 1302
BibRef

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Stereo and Depth Using Thermal and Visible, 3D Features, Objects .


Last update:May 6, 2024 at 15:50:14