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Infrared Dim and Small Target Detection from Complex Scenes via Multi-Frame Spatial–Temporal Patch-Tensor Model

Yuxin Hu, Yapeng Ma, Zongxu Pan, Yuhan Liu
2022 Remote Sensing  
To solve these difficulties, this paper proposes a novel multi-frame spatialtemporal 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]

Yimian Dai, Yiquan Wu
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

Xinqiang Chen, Lei Qi, Yongsheng Yang, Qiang Luo, Octavian Postolache, Jinjun Tang, Huafeng Wu
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

Mateusz Chmurski, Gianfranco Mauro, Avik Santra, Mariusz Zubert, Gökberk Dagasan
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]

Yu Huang, Yue Chen
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

Melih Altun, Mehmet Celenk
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

MARCO PORTA
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]

Muhammed Muzammul, Xi Li
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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