Efficient foreground object segmentation from video by Probability Weighted Moments
Sign Up to like & getrecommendations! Published in 2021 at "Optik"
DOI: 10.1016/j.ijleo.2020.166251
Abstract: Abstract Segmentation of foreground objects is an important issue in computer vision. Since, there exist no predefined classes for unsupervised learning, which makes it computationally expensive. Also, the contrast of foreground to background needs to… read more here.
Keywords: object segmentation; foreground; segmentation; probability weighted ... See more keywords
Improved large-scale interstellar dust foreground model and CMB solar dipole measurement
Sign Up to like & getrecommendations! Published in 2021 at "Astronomy and Astrophysics"
DOI: 10.1051/0004-6361/202140616
Abstract: February 22, 2021 ABSTRACT The Cosmic Microwave Background anisotropies are difficult to measure at large angular scales. In this paper, we present a new analysis of the Planck High Frequency Instrument data that brings the… read more here.
Keywords: large scale; foreground; solar dipole; signal ... See more keywords
Gaussian Process Regression for foreground removal in HI intensity mapping experiments
Sign Up to like & getrecommendations! Published in 2021 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stab2594
Abstract: We apply for the first time Gaussian Process Regression (GPR) as a foreground removal technique in the context of single-dish, low redshift H i intensity mapping, and present an open-source python toolkit for doing so. We… read more here.
Keywords: frequency; foreground; intensity mapping; foreground removal ... See more keywords
21-cm foregrounds and polarization leakage: cleaning and mitigation strategies
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DOI: 10.1093/mnras/stab856
Abstract: The success of H i intensity mapping is largely dependent on how well 21-cm foreground contamination can be controlled. In order to progress our understanding further, we present a range of simulated foreground data from two… read more here.
Keywords: polarization leakage; component analysis; leakage; foregrounds polarization ... See more keywords
Sky-averaged 21-cm signal extraction using multiple antennas with an SVD framework: the REACH case
Sign Up to like & getrecommendations! Published in 2022 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stad1047
Abstract: In a sky-averaged 21-cm signal experiment, the uncertainty on the extracted signal depends mainly on the covariance between the foreground and 21-cm signal models. In this paper, we construct these models using the modes of… read more here.
Keywords: averaged signal; foreground; signal extraction; foreground model ... See more keywords
Detailed study of the ELAIS N1 field with the uGMRT - I. Characterizing the 325 MHz foreground for redshifted 21 cm observations
Sign Up to like & getrecommendations! Published in 2019 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stz1580
Abstract: In this first paper of the series, we present initial results of newly upgraded Giant Meterwave Radio Telescope (uGMRT) observation of European Large-Area ISO Survey-North 1 (ELAIS-N1) at 325 MHz with 32 MHz bandwidth. Precise… read more here.
Keywords: 325 mhz; mhz; mathcal ell; foreground ... See more keywords
A Content-Aware Image Retargeting Quality Assessment Method Using Foreground and Global Measurement
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DOI: 10.1109/access.2019.2927032
Abstract: Image retargeting methods aim to minimize the perceptual loss while changing sizes and aspect ratios of images. Since optimal retargeting methods for different images are generally not the same, the image retargeting quality assessment (IRQA)… read more here.
Keywords: retargeting quality; image retargeting; global measurement; foreground ... See more keywords
FEXNet: Foreground Extraction Network for Human Action Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3103677
Abstract: As most human actions in video sequences embody the continuous interactions between foregrounds rather than the background scene, it is significant to disentangle these foregrounds from the background for advanced action recognition systems. In this… read more here.
Keywords: foreground extraction; action; action recognition; foreground ... See more keywords
Extracting Small Flying Airplane With Spatially Accurate and Temporally Consistent Foreground Modeling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3121290
Abstract: Extracting the flying airplane from the satellite video has received a great deal of attention in remote sensing applications. Nevertheless, the challenge arises in two aspects: the limited spatial resolution of space-borne imaging devices and… read more here.
Keywords: temporally consistent; accurate temporally; flying airplane; spatially accurate ... See more keywords
Few-Shot Fine-Grained Ship Classification With a Foreground-Aware Feature Map Reconstruction Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3172223
Abstract: Fine-grained ship classification plays an important part in many military and civilian applications. However, it is often costly to obtain images of ships, making it difficult to procure large numbers of such images. This difficulty… read more here.
Keywords: classification; grained ship; ship classification; fine grained ... See more keywords
Foreground Fisher Vector: Encoding Class-Relevant Foreground to Improve Image Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2908795
Abstract: Image classification is an essential and challenging task in computer vision. Despite its prevalence, the combination of the deep convolutional neural network (DCNN) and the Fisher vector (FV) encoding method has limited performance since the… read more here.
Keywords: class relevant; foreground; image classification; image ... See more keywords