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Device Free Localisation Techniques in Indoor Environments
2019
Defence Science Journal
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Device free localisation (DFL) is an upcoming technology in automated localisation in which target need not equip any device for identifying its position by the user. ...
The location estimation of a target for a long period was performed only by device based localisation technique which is difficult in applications where target especially human is non-cooperative. ...
The image recovery parameters are used for generating a smooth image. ...
doi:10.14429/dsj.69.13214
fatcat:tzsuul2avnhnfk2cyvin7o4sfq
Compressive Sensing Based Radio Tomographic Imaging with Spatial Diversity
2019
Sensors
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Radio tomographic imaging (RTI) has emerged as a promising device-free localization technology for locating the targets with no devices attached. ...
RTI deduces the location information from the reconstructed attenuation image characterizing target-induced spatial loss of radio frequency measurements in the sensing area. ...
Since the former technique requires large time-consuming labor efforts of offline RSS map establishment, we focus our interest on the model-based DFL method, more specifically, radio tomographic imaging ...
doi:10.3390/s19030439
fatcat:2qzegqn42bdg5gcfzylvg3s2pq
Energy efficient radio tomographic imaging
2014
2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)
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In this paper, our goal is to develop approaches to reduce the energy consumption in Radio Tomographic Imaging (RTI)-based methods for device free localization without giving up localization accuracy. ...
Thus, rather than creating an attenuation image of the whole area in RTI, we only create the attenuation image for effective links in a small area close to the current location of the moving object. ...
Abstract-In this paper, our goal is to develop approaches to reduce the energy consumption in Radio Tomographic Imaging (RTI)-based methods for device free localization without giving up localization accuracy ...
doi:10.1109/sahcn.2014.6990401
dblp:conf/secon/KhalediKPB14
fatcat:gezhc6v3qja3vdd6g2swe35flq
Enhanced Sparse Representation-Based Device-Free Localization with Radio Tomography Networks
2018
Journal of Sensor and Actuator Networks
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The sparse distribution of targets in monitored areas is an important prior for device-free localization (DFL) with radio tomography networks. ...
Thus, the sparsity of targets is enhanced under the expanded sensing matrix and the 1 -minimization-based approximations are derived for the recovery of locations. ...
Acknowledgments: The authors thank to the reviewers and editor for their insightful comments and suggestions.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/jsan7010007
fatcat:l7kwqlblrnemfhuqdezdqoabq4
Inline 3D Volumetric Measurement of Moisture Content in Rice Using Regression-Based ML of RF Tomographic Imaging
2022
Sensors
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This paper proposes a novel technique based on radio frequency tomographic imaging using low-cost wireless devices and regression-based machine learning to provide contactless non-destructive 3D volumetric ...
This proposed technique can detect multiple levels of localized moisture distributions in the silo with accuracies greater than or equal to 83.7%, depending on the size and shape of the sample under test ...
ML of RF Tomographic Imaging" facilities and access to equipment for this research work. ...
doi:10.3390/s22010405
pmid:35009947
pmcid:PMC8749697
fatcat:f3m3wpwrcravzl2qutgxjs473y
Feedback Based Sparse Recovery for Motion Tracking in RF Sensor Networks
2011
2011 IEEE Sixth International Conference on Networking, Architecture, and Storage
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Device-free motion tracking with radio tomographic networks using received signal strength (RSS) measurements has attracted considerable research efforts. ...
Compared with the least-square type methods, the proposed motion tracking based on feedback sparse recovery can directly determine where the targets are located in the network area and reduce the amount ...
Recently, Wilson and Patwari developed a new technology for RSS-DFLT, referred to radio tomographic imaging (RTI) [2] , [3] . ...
doi:10.1109/nas.2011.9
dblp:conf/nas/SongLLW11
fatcat:eknvngxibbb3romx323gk5ej5e
An Overview on Image-Based and Scanner-Based 3D Modeling Technologies
2023
Sensors
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each type of scanner, and it discusses the problem of generating 3D models from scans. ...
Simultaneously, 3D scanners have become a common source of data acquisition for 3D modeling of real objects/scenes/human bodies. ...
The class of methods that use two or more images for shading-based 3D shape recovery is referred to as photometric stereo [38] . ...
doi:10.3390/s23020596
pmid:36679393
pmcid:PMC9861742
fatcat:7zliapfn4faozecrunqtyj3h7y
Inverse Source Data-Processing Strategies for Radio-Frequency Localization in Indoor Environments
2017
Sensors
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This paper deals with the active radio-frequency (RF) source localization in indoor scenarios. ...
The localization problem is formulated as an imaging one by taking advantage of the inverse source approach. ...
In this area, it is worthwhile mentioning Radio Tomographic Imaging (RTI) [20] , the approach combining an electromagnetic inverse source modeling and classification based on a support vector machine ...
doi:10.3390/s17112469
pmid:29077071
pmcid:PMC5713159
fatcat:k4rovdd22zedjfaucwvikr5l2e
Sparse target localization in RF sensor networks using compressed sensing
2013
2013 25th Chinese Control and Decision Conference (CCDC)
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In this paper, we propose a greedy sparse recovery algorithm for target localization with RF sensor networks. The target spatial domain is discretized by grid pixels. ...
The experimental studies are presented to demonstrate that the RMP offers an attractive alternative to OMP for sparse signal recovery, in addition, it is more favorable than non-CS based methods for target ...
Recently, Wilson and Patwari developed a new technology for DFL, referred to radio tomographic imaging (RTI) [2, 3] . ...
doi:10.1109/ccdc.2013.6561649
fatcat:qlm6t4ubvrcpdnjlufxk2e5jce
Near-Infrared Fluorescence Optical Imaging and Tomography
2004
Disease Markers
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Finally, a critical evaluation of the limitations and the opportunities for future translation of fluorescence-enhanced optical imaging of deep tissues is presented. ...
The advent of recent advances in near-infrared laser diodes and fast electro-optic detection has spawned a new research field of diagnostic spectroscopy and imaging based on targeting and reporting exogenous ...
The final fluorescent images were captured using a chargecoupled device camera (model CH350, Photometrics, Tucson, AZ) with an 800-msec exposure time. ...
doi:10.1155/2004/474818
pmid:15096708
pmcid:PMC3851384
fatcat:n4zakza2ljapdf7mo3627mhrja
2020 Index IEEE Transactions on Radiation and Plasma Medical Sciences Vol. 4
2020
IEEE Transactions on Radiation and Plasma Medical Sciences
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., +, TRPMS July 2020 441-449 Multigrid Reconstruction in Tomographic Imaging. Marlevi, D., +, TRPMS May 2020 300-310 Parametric Imaging With PET and SPECT. ...
Cui, J., +, TRPMS July 2020 400-409 System Response Matrix Calculation Based on Distance-Driven Model and Solid Angle Model for Dual-Head PET System. ...
doi:10.1109/trpms.2020.3034035
fatcat:zdt3y34sejgcbdrsqvmx4fezpq
Enhancing the Accuracy and Robustness of a Compressive Sensing Based Device-Free Localization by Exploiting Channel Diversity
2019
Sensors
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As an emerging and promising technique, device-free localization (DFL) estimates target positions by analyzing their shadowing effects. ...
In this algorithm, dictionaries are parameterized based on the saddle surface model. ...
sensing
RIP
Restricted isometry property
RTI
Radio tomographic imaging
GMP
Greedy matching pursuit
LCS
Device-free localization based on compressive sensing
PDF
Probability density function ...
doi:10.3390/s19081828
fatcat:vowgigdvcbd4zo7n4hb4zqxvbe
Model-based respiratory motion compensation for emission tomography image reconstruction
2007
Physics in Medicine and Biology
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In emission tomography imaging, respiratory motion causes artifacts in lungs and cardiac reconstructed images, which lead to misinterpretations, imprecise diagnosis, impairing of fusion with other modalities ...
lesions, but which have the disadvantages of requiring additional instrumentation or the need of discarding part of the projection data used for reconstruction. ...
Acknowledgments The authors would like to thank the staff at the CAL center for their collaboration in the acquisition of phantom and patient data. ...
doi:10.1088/0031-9155/52/12/016
pmid:17664561
fatcat:zskiegkpxrf3lagz6gho4yiegu
The future of hybrid imaging—part 2: PET/CT
2011
Insights into Imaging
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This review summarises the state-of-the-art of dual-modality imaging with a focus on clinical applications. ...
We highlight selected areas for potential improvement of combined imaging technologies and new applications. ...
(mm) for a typical local imaging station of 30 cm. ...
doi:10.1007/s13244-011-0069-4
pmid:23099865
pmcid:PMC3288992
fatcat:xt3ooazi45ggzkrin2ylek256e
Compressive sensing in medical imaging
2015
Applied Optics
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The desire to minimize this cost naturally generates interest in CS. Medical imaging also has several inherent advantages that promote use of CS. ...
MRI A primary motivation for development of CS in MRI has been the desire to reduce the amount of data required to create an image. ...
When considering any imaging device, the only metric that matters is its utility with respect to the task for which it was designed. Accurate recovery of tomographic slices is secondary. ...
doi:10.1364/ao.54.000c23
pmid:25968400
pmcid:PMC4669980
fatcat:okvfwtaqjjf23nfkpfqmurosye
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