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Infrared Small Target Detection Based on Spatial-temporal Enhancement Using Quaternion Discrete Cosine Transform

Ping Zhang, Xiaowei Wang, Xiaoyang Wang, Chun fei, Zhengkui Guo
2019 IEEE Access  
In this paper, we propose an infrared small target detection method that improves the target contrast and suppresses background clutters based on spatial-temporal enhancement using the quaternion discrete  ...  INDEX TERMS Infrared (IR) small target detection, kurtosis feature, steerable filter, quaternion discrete cosine transform (QDCT).  ...  Considering the advantages of cosine transform, a method of infrared small target detection based on spatial-temporal enhancement using quaternion Discrete Cosine Transform (QDCT) is proposed in this paper  ... 
doi:10.1109/access.2019.2912976 fatcat:jdrivyzelveqlb7i4qj2wmtnia

2020 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 30

2020 IEEE transactions on circuits and systems for video technology (Print)  
Rodriguez-Borbon, J.M., +, TCSVT March 2020 888-902 Fourier transforms Background Modeling in the Fourier Domain for Maritime Infrared Target Detection.  ...  Li, F., +, TCSVT June 2020 1511-1523 Infrared imaging Background Modeling in the Fourier Domain for Maritime Infrared Target Detection.  ...  ., +, TCSVT Sept. 2020 3238-3252 Algorithm and VLSI Architecture Co-Design on Efficient Semi-Global Stereo Matching. Zhang, X., +,  ... 
doi:10.1109/tcsvt.2020.3043861 fatcat:s6z4wzp45vfflphgfcxh6x7npu

2019 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 29

2019 IEEE transactions on circuits and systems for video technology (Print)  
., +, TCSVT June 2019 1595-1607 Discrete wavelet transforms A Novel Motion Detection Method Using 3D Discrete Wavelet Transform.  ...  ., +, TCSVT Aug. 2019 2467-2481 A Novel Motion Detection Method Using 3D Discrete Wavelet Transform.  ... 
doi:10.1109/tcsvt.2019.2959179 fatcat:2bdmsygnonfjnmnvmb72c63tja

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
., +, TIP 2020 6667-6679 TNLRS: Target-Aware Non-Local Low-Rank Modeling With Saliency Filtering Regularization for Infrared Small Target Detection.  ...  ., +, TIP 2020 2176-2189 TNLRS: Target-Aware Non-Local Low-Rank Modeling With Saliency Fil- tering Regularization for Infrared Small Target Detection.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

Infrared Dim and Small Target Detection Based on Greedy Bilateral Factorization in Image Sequences

Dongdong Pang, Tao Shan, Wei Li, Pengge Ma, Shengheng Liu, Ran Tao
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
In this article, a low-rank and sparse decomposition method based on greedy bilateral factorization is proposed for IR dim and small target detection.  ...  Fast and stable detection of dim and small infrared (IR) targets in complex backgrounds has important practical significance for IR search and tracking system.  ...  A small IR target detection method based on spatial-temporal enhancement using the quaternion discrete cosine transform (QDCT) is proposed by fusing the kurtosis feature, two-directional feature maps,  ... 
doi:10.1109/jstars.2020.2998822 fatcat:aa64gqtirjbktkmsp3eqst6jj4

Classification of Infrared Objects in Manifold Space Using Kullback-Leibler Divergence of Gaussian Distributions of Image Points

Huilin Ge, Zhiyu Zhu, Lou Kang, Wei Wei, Runbang Liu, Robertas Damaševičius, Marcin Woźniak
2020 Symmetry  
Then, based on the Gaussian distribution information in the manifold space, the distribution characteristics of the data points of the infrared image in the low-dimensional space are derived.  ...  Infrared image recognition technology can work day and night and has a long detection distance.  ...  [21] , two-stage U-skip context aggregation network [22] , histogram similarity map based on the Epanechnikov kernel function [23] , quaternion discrete cosine transform [24] , nonconvex optimization  ... 
doi:10.3390/sym12030434 fatcat:3gqf5j7pbzb2tgaubkjkrjzyni

A Survey on Deep Learning for Skeleton-Based Human Animation [article]

L. Mourot, L. Hoyet, F. Le Clerc, François Schnitzler
2021 arXiv   pre-print
First, we introduce motion data representations, most common human motion datasets and how basic deep models can be enhanced to foster learning of spatial and temporal patterns in motion data.  ...  In this article, we propose a comprehensive survey on the state-of-the-art approaches based on either deep learning or deep reinforcement learning in skeleton-based human character animation.  ...  [CHW*20] learned temporal correlations in the frequency domain by applying at the input and the output of their network a Discrete Cosine Transform (DCT) and its inverse, respectively. et al.  ... 
arXiv:2110.06901v1 fatcat:abppln4rbbeufiw4z6a3wnk7oy

2021 Index IEEE Transactions on Image Processing Vol. 30

2021 IEEE Transactions on Image Processing  
Wang, G., +, TIP 2021 3734-3747 Bio-Inspired Video Enhancement for Small Moving Target Detection.  ...  ., +, TIP 2021 4622-4636 Discrete cosine transforms Affine Transformation-Based Deep Frame Prediction. Choi, H., +, TIP 2021 3321-3334 Diversity Image Coding Using Irregular Interpolation.  ... 
doi:10.1109/tip.2022.3142569 fatcat:z26yhwuecbgrnb2czhwjlf73qu

An overview of MATISSE-v2.0

Luc Labarre, Karine Caillault, Sandrine Fauqueux, Claire Malherbe, Antoine Roblin, Bernard Rosier, Pierre Simoneau, Karin Stein, John D. Gonglewski
2010 Optics in Atmospheric Propagation and Adaptive Systems XIII  
This Programme is based on commitments received up to the time of publication and is subject to change without notice.  ...  This gives us a background correlation that we use as reference to subtract from the spatial correlation in both image and far-field measurements.  ...  We discuss this influence based on one and two photon polarized light microscopy and local ellipsometric analysis of the two photon fluorescence emission.  ... 
doi:10.1117/12.868183 fatcat:5anlqspzzzcftfufaxvlr45zve

Visual detection of vehicles using a bag-of-features approach

Pedro Pinto, Ana Tome, Vitor Santos
2013 2013 13th International Conference on Autonomous Robot Systems  
Personal use of this material is permitted.  ...  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective  ...  Based on this separation, the proposed framework uses SOM and a spatial-level to map the spatial context in combination with a generative probabilistic model to represent the temporal context.  ... 
doi:10.1109/robotica.2013.6623539 fatcat:ialsxj53yzfkfe5f766krtkkrq

Ocular biometrics: A survey of modalities and fusion approaches

Ishan Nigam, Mayank Vatsa, Richa Singh
2015 Information Fusion  
We also propose a path forward to advance the research on ocular recognition by (i) improving the sensing technology, (ii) heterogeneous recognition for addressing interoperability, (iii) utilizing advanced  ...  Iris recognition is used in Unique Identification Authority of India's Aadhaar Program and the United Arab Emirate's border security programs, whereas the periocular recognition is used to augment the  ...  The authors would like to thank the Editorin-Chief, Associate Editor, and reviewers for their insightful feedback on the paper. The authors also acknowledge Dr. Maria De Marsico and Dr.  ... 
doi:10.1016/j.inffus.2015.03.005 fatcat:ph2katoyuzdylamlesnt7vzbay

2020 Index IEEE Transactions on Instrumentation and Measurement Vol. 69

2020 IEEE Transactions on Instrumentation and Measurement  
Converter Using All-Digital Nested Delay-Locked Loops With 50-ps Resolution and High Throughput for LiDAR TIM Nov. 2020 9262-9271 Helsen, J., see Huchel, L., TIM July 2020 4145-4153 Hemavathi, N.,  ...  Meenalochani, M., and Sudha, S., Influence of Received Signal Strength on Prediction of Cluster Head and Number of Rounds; TIM June 2020 3739-3749 Hendeby, G., see Kasebzadeh, P., TIM Aug. 2020 5862  ...  ., +, TIM Feb. 2020 573-584 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 69, NO. 12, DECEMBER 2020 + Check author entry for coauthors Discrete cosine transforms Investigation of Kronecker-Based  ... 
doi:10.1109/tim.2020.3042348 fatcat:a5f4fsqs45fbbetre6zwsg3dly

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
Article numbers are based on specified topic areas and corresponding codes associated with the publication.  ...  Fu, N., +, TIM 2021 6501514 Discrete wavelet transforms Classification of Lower Limb Activities Based on Discrete Wavelet Transform Using On-Body Creeping Wave Propagation.  ...  ., +, TIM 2021 4003708 Discrete cosine transforms Detection of Atrial Fibrillation in Compressively Sensed Electrocardiogram Measurements.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

Towards Hybrid Multimodal Manual and Non-Manual Arabic Sign Language Recognition: mArSL Database and Pilot Study

Hamzah Luqman, El-Sayed M. El-Alfy
2021 Electronics  
In addition, we evaluated the fusion of spatial and temporal features of different modalities, manual and non-manual, for sign language recognition using the state-of-the-art deep learning techniques.  ...  It consists of 6748 video samples of fifty signs performed by four signers and collected using Kinect V2 sensors.  ...  [34] extracted the area and discrete cosine transform (DCT) coefficients from the signer hand and head separately.  ... 
doi:10.3390/electronics10141739 fatcat:ga37vyeimjbrpasutw4spqw5ta

NIRS-SPM: Statistical parametric mapping for near-infrared spectroscopy

2009 NeuroImage  
As optically measured hemoglobin signals strongly correlate with BOLD signals, simultaneous measurement using NIRS and fMRI promises a significant mutual enhancement of temporal and spatial resolutions  ...  More specifically, NIRS data are statistically analyzed based on the general linear model (GLM) and Sun's tube formula.  ...  In order to eliminate the global trend and to improve the signal-to-noise ratio, a highpass filter based on a discrete cosine transform (DCT) was employed, as is currently implemented in SPM (Friston  ... 
doi:10.1016/j.neuroimage.2008.08.036 pmid:18848897 fatcat:ux6qtikcsraobbt6jthgelgqci
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