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Infrared Dim and Small Target Detection from Complex Scenes via Multi-Frame Spatial–Temporal Patch-Tensor Model
2022
Remote Sensing
To solve these difficulties, this paper proposes a novel multi-frame spatial–temporal patch-tensor (MFSTPT) model for infrared dim and small target detection from complex scenes. ...
First, the method of simultaneous sampling in spatial and temporal domains is adopted to make full use of the information between multi-frame images, establishing an image-patch tensor model that makes ...
[35] . proposed an edge and corner awareness-based spatial-temporal tensor model (ECA-STT) by introducing an edge-corner awareness indicator and adding a tensor-based non-convex tensor low-rank approximation ...
doi:10.3390/rs14092234
fatcat:fz4yeb33sbgrtesfaolusjo3cy
Reweighted Infrared Patch-Tensor Model With Both Non-Local and Local Priors for Single-Frame Small Target Detection
[article]
2017
arXiv
pre-print
Many state-of-the-art methods have been proposed for infrared small target detection. They work well on the images with homogeneous backgrounds and high-contrast targets. ...
Firstly, we employ a new infrared patch-tensor (IPT) model to represent the image and preserve its spatial correlations. ...
ACKNOWLEDGMENTS The authors would like to thank the editor and anonymous reviewers for their helpful comments and suggestions. ...
arXiv:1703.09157v1
fatcat:3aoplymwxvanldpbeemqxewi74
Video-Based Detection Infrastructure Enhancement for Automated Ship Recognition and Behavior Analysis
2020
Journal of Advanced Transportation
Fourth, we analyzed spatial-temporal ship behavior in consecutive maritime images based on kinematic ship information. ...
Video-based detection infrastructure is crucial for promoting connected and autonomous shipping (CAS) development, which provides critical on-site traffic data for maritime participants. ...
Wang et al. obtained the spatial-temporal tra c tensors by mining the high-resolution AIS data, and then employed a sparse multi-linear decomposition method to predict ship behaviors [1] . ...
doi:10.1155/2020/7194342
fatcat:cavqp5r7rfcvtdsk4tmvrjtpye
2021 Index IEEE Transactions on Multimedia Vol. 23
2021
IEEE transactions on multimedia
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, TMM 2021 2471-2480 Temporal Locality-Aware Network With Dual Structure for Accurate and Fast Action Detection. ...
doi:10.1109/tmm.2022.3141947
fatcat:lil2nf3vd5ehbfgtslulu7y3lq
2020 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 13
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
for Small Target Detection. ...
., +, JSTARS 2020 827-839 Infrared Dim and Small Target Detection Based on Greedy Bilateral Factorization in Image Sequences. ...
A New Deep-Learning-Based Approach for Earthquake-Triggered Landslide Detection From Single-Temporal RapidEye Satellite Imagery. Yi, Y., +, JSTARS 2020 ...
doi:10.1109/jstars.2021.3050695
fatcat:ycd5qt66xrgqfewcr6ygsqcl2y
Highly-Optimized Radar-Based Gesture Recognition System with Depthwise Expansion Module
2021
Sensors
The introduced classifier is optimized and deployed on the Coral Edge TPU board. ...
Most of the current hand-based HCI strategies exhibit various limitations, e.g., sensibility to variable lighting conditions and limitations on the operating environment. ...
Acknowledgments: The authors would like to thank the reviewers for their time and efforts.
Conflicts of Interest: The authors declare no conflicts of interests. ...
doi:10.3390/s21217298
pmid:34770603
pmcid:PMC8588382
fatcat:dyt5eqmg2fayljnq32a7mdgh7a
2021 Index IEEE Transactions on Image Processing Vol. 30
2021
IEEE Transactions on Image Processing
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, TIP 2021 3734-3747 Bio-Inspired Video Enhancement for Small Moving Target Detection. ...
doi:10.1109/tip.2022.3142569
fatcat:z26yhwuecbgrnb2czhwjlf73qu
Table of Contents
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Zhang, and Y. Liu 5652 Processing, Sensors, and System for: Radar Behind Corner Targets Location Using Small Aperture Millimeter Wave Radar in NLOS Urban . . . . . S. Guo, Q. Zhao, G. Cui, S. ...
Fraz 3032 Weighted Machine Learning for Spatial-Temporal Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . M. Hashemi and H. A. ...
Huang 1905 Infrared Dim and Small Target Detection Based on Greedy Bilateral Factorization in Image Sequences . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/jstars.2020.3046663
fatcat:zqzyhnzacjfdjeejvzokfy4qze
2015 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 53
2015
IEEE Transactions on Geoscience and Remote Sensing
., +, TGRS Jan. 2015 481-493 Improving Target Detection Accuracy Based on Multipolarization MIMO GPR. Zeng, Z., +, TGRS Jan. 2015 15-24 Marine Electrical Sensing for Detecting Small Inhomogeneities. ...
., +, TGRS Nov. 2015 6207-6222 Spatiotemporal Data Fusion Using Temporal High-Pass Modulation and Edge Primitives. ...
doi:10.1109/tgrs.2015.2513444
fatcat:zuklkpk4gjdxjegoym5oagotzq
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
[article]
2020
arXiv
pre-print
level respectively, behavior modelling and prediction of vehicle driving and pedestrian trajectories. ...
Due to the limited space, we focus the analysis on several key areas, i.e. 2D and 3D object detection in perception, depth estimation from cameras, multiple sensor fusion on the data, feature and task ...
interactions in a spatial-temporal graph (ST-graph). ...
arXiv:2006.06091v3
fatcat:nhdgivmtrzcarp463xzqvnxlwq
2021 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43
2022
IEEE Transactions on Pattern Analysis and Machine Intelligence
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, TPAMI Nov. 2021 4142-4160 Edge detection Corner Detection Using Second-Order Generalized Gaussian Directional Derivative Representations. ...
doi:10.1109/tpami.2021.3126216
fatcat:h6bdbf2tdngefjgj76cudpoyia
Road Scene Content Analysis for Driver Assistance and Autonomous Driving
2017
IEEE transactions on intelligent transportation systems (Print)
This saliency map, based on contour and motion sensitive human visual perception, is devised by extracting spatial, spectral and temporal information from the input frames and applying data fusion. ...
As experimental results demonstrate, context aware low level to high level information fusion based on human vision model produces superior segmentation, tracking and classification results that lead to ...
earlier there are multiple image features coming from spatial, spectral and temporal elements of the video sequence. The spatial, spectral and temporal feature fusion model is based on human vision. ...
doi:10.1109/tits.2017.2688352
fatcat:mjp6rvksajbcrknnuesu2hhgnm
Program
2019
2019 International Conference on Control, Automation and Information Sciences (ICCAIS)
A joint method of extracting breakpoints by density-based spatial clustering of applications with noise (DBSCAN) algorithm and extracting corner and edge by the curvature function is proposed. ...
helps to extract spatial-temporal features from the videos. ...
A real-time video surveillance and state detection approach for elevator cabs Zhen Sun, Benlian Xu and Di Wu (Changshu Institute of Technology, China); Mingli Lu (Changshu Institute of Technology Changshu ...
doi:10.1109/iccais46528.2019.9074650
fatcat:f3libdixzvez3kaeyb5dubekrq
Vision-based user interfaces: methods and applications
2002
International Journal of Human-Computer Studies
The focus will mostly be on techniques and prototypes intended for office and home PC-based use, as we are mainly interested in vision technology applied to ordinary computing environments. ...
The aim of this paper is to provide a global view on the field of vision-based interfaces (VBIs), through the analysis of the methods used for their implementation and the exploration of the practical ...
For instance, spatial gradients can be used to detect line endings and edge borders on the face, which may reveal much about facial expressions (Fasel & Luettin, 2000a) . ...
doi:10.1006/ijhc.2002.1012
fatcat:bfuy7kryznbujia7mdw6ag4cea
A Survey on Deep Domain Adaptation and Tiny Object Detection Challenges, Techniques and Datasets
[article]
2021
arXiv
pre-print
In the future, OD methods and models can be analyzed for real-time object detection, tracking strategies. ...
This survey paper specially analyzed computer vision-based object detection challenges and solutions by different techniques. ...
This model is suitable more for video-based data as in this data, more dimensional Tempore present [186] -comparison of 2D and 3D convolution shown in Fig 4. b. c. ...
arXiv:2107.07927v1
fatcat:pgwxu5tnvzhj7ln3ccndmpilsi
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