Showing 1-25 of 3,373 resultsfor "Index Terms":Infrared Imagery
"Index Terms":Infrared Imagery
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Cortical activation of passive hand movement using Haptic Knob: A preliminary multi-channel fNIRS study
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2014 | Conference Paper |
Cited by: Papers (2)
Several functional neuroimaging studies had been performed to explore the sensorimotor function for motor imagery and passive movement, but there is scanty work that investigated the cortical activation pattern for passive movement using functional Near-Infrared Spectroscopy (fNIRS). This study investigated the cortical activation pattern from fNIRS data of 8 healthy subjects performing motor imag...Show More
EEG Electrode Selection for a Two-Class Motor Imagery Task in a BCI Using fNIRS Prior Data
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Year: 2021 | Conference Paper |
This study investigated the possibility of using functional near infrared spectroscopy (fNIRS) during right- and left-hand motor imagery tasks to select an optimum set of electroencephalography (EEG) electrodes for a brain computer interface. fNIRS has better spatial resolution allowing areas of brain activity to more readily be identified. The ReliefF algorithm was used to identify the most relia...Show More
Visible-information-aided eyeglasses removing for thermal image reconstruction
2007 10th International Conference on Information Fusion
Year: 2007 | Conference Paper |
Cited by: Papers (1)
Recently, a number of studies have demonstrated that thermal infrared (IR) imagery offers a promising alternative to visible imagery in face recognition problems due to its invariance to visible illumination changes. However, thermal IR has other limitations including that it is opaque to glass. As a result, thermal IR imagery is very sensitive to facial occlusion caused by eyeglasses. Fusion of t...Show More
Taking NIRS-BCIs Outside the Lab: Towards Achieving Robustness Against Environment Noise
This paper reported initial findings on the effects of environmental noise and auditory distractions on the performance of mental state classification based on near-infrared spectroscopy (NIRS) signals recorded from the prefrontal cortex. Characterization of the performance losses due to environmental factors could provide useful information for the future development of NIRS-based brain-computer ...Show More
Multispectral visible and infrared imaging for face recognition
Hong Chang;Andreas Koschan;Mongi Abidi;Seong G. Kong;Chang-Hee Won
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Year: 2008 | Conference Paper |
Multispectral imaging in the visible and near infrared spectra helps reduce color variations in the face due to changes in illumination source types and directions. Thermal infrared imaging provides useful signatures of the face that is insensitive to ambient lighting through the measurement of heat energy radiated from the object. This paper introduces the use of multispectral imaging and thermal...Show More
Interband Correlations of Visible and Thermal Infrared Radiometer Imagery from the Marine Observation Satellite-i
12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,
Year: 1989 | Conference Paper |
First Page of the Article
Show MoreAIRIS the Canadian Hyperspectral Imager
2006 Canadian Conference on Electrical and Computer Engineering
Year: 2006 | Conference Paper |
The Defence Research and Development Canada (DRDC) Agency has successfully completed a Technical Demonstration Program (TDP) to assess the "Military Utility of Airborne Hyperspectral Imagery ". This required developing a sensor, the airborne infrared imaging spectrometer (AIRIS), and collecting in-flight imagery data. The AIRIS instrument was designed with flexibility and modularity in mind, allow...Show More
Recent Advances In Airborne Terrestrial Remote Sensing With The Nasa Airborne Visible/infrared Imaging Spectrometer (aviris), Airborne Synthetic Aperture Radar (sar), And Thermal Infrared Multispectral Scanner (tims)
12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,
Year: 1989 | Conference Paper |
Cited by: Papers (3)
First Page of the Article
Show MoreHuman Activity Recognition in Thermal Infrared Imagery
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops
Year: 2005 | Conference Paper |
In this paper, we investigate human repetitive activity properties from thermal infrared imagery, where human motion can be easily detected from the background regardless of lighting conditions and colors of the human surfaces and backgrounds. We employ an efficient spatiotemporal representation for human repetitive activity recognition, which represents human motion sequence in a single image whi...Show More
Computing Coastal Ocean Surface Currents From Infrared and Ocean Color Satellite Imagery
R. Ian Crocker;Dax K. Matthews;William J. Emery;Daniel G. Baldwin
Many previous studies have demonstrated the viability of estimating advective ocean surface currents from sequential infrared satellite imagery using the maximum cross-correlation (MCC) technique when applied to 1.1-km-resolution Advanced Very High Resolution Radiometer (AVHRR) thermal infrared imagery. Applied only to infrared imagery, cloud cover and undesirable viewing conditions (gaps in satel...Show More
Hybrid EEG-NIRS BCI using Feature Extraction based on Riemannian Geometry
2024 IEEE 13th Global Conference on Consumer Electronics (GCCE)
Year: 2024 | Conference Paper |
Brain-computer interface (BCI), which enables direct control of computers and external devices through brain activity, holds significant promise for rehabilitating individuals with motor dysfunctions. However, problems such as low accuracy and non-stationarity of physiological signals remain. In this study, we propose a hybrid BCI using electroencephalography (EEG) and near-infrared spectroscopy (...Show More
Thermal infrared imagery informativity enhancement using sub-pixel co-registration
2016 International Conference on Information and Digital Technologies (IDT)
Year: 2016 | Conference Paper |
Cited by: Papers (8)
Spatial resolution is the main specification of satellite imagery quality, including the thermal infrared imagery. Many technical restrictions opposed to realize the high spatial resolution imagers of thermal infrared band. The software-based method for imagery spatial resolution enhancement is presented. The method used two sub-pixel shifted images that contain time-invariant thermal emissivity d...Show More
MCFHNet: Multi-Channel Fusion Hybrid Network for Efficient EEG-fNIRS Multi-modal Motor Imagery Decoding
Jiaming Chen;Dan Wang;Bo Hu;Weibo Yi;Meng Xu;Dingrui Chen;Qing Zhao
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Year: 2022 | Conference Paper |
Cited by: Papers (3)
Motor Imagery-based Brain Computer Interface (MI-BCI) is a typical active BCI with a main focus on motor intention identification. Hybrid motor imagery (MI) decoding methods that based on multi-modal fusion of Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), especially deep learning-based methods, become popular in recent MI-BCI studies. However, the fusion strategy ...Show More
Motor imagery detection with wavelet analysis for NIRS-based BCI
Bonkon Koo;Hanh Vu;Hwan-Gon Lee;Hyung-Cheul Shin;Seungjin Choi
2016 4th International Winter Conference on Brain-Computer Interface (BCI)
Year: 2016 | Conference Paper |
Cited by: Papers (6)
Near infrared spectroscopy (NIRS) is a non-invasive functional brain imaging device, which measures hemodynamic responses induced by brain activities. In this paper we collect NIRS signals associated with motor imagery and rest states, and analyze these signals with wavelet analysis. To our best knowledge, wavelet analysis method has not been used for hemodynamic response of motor imagery, althoug...Show More
Functional Infrared Imaging in Medicine: A Quantitative Diagnostic Approach
2006 International Conference of the IEEE Engineering in Medicine and Biology Society
Year: 2006 | Conference Paper |
The role and the potentialities of high-resolution infrared thermography, combined to bio-heat modelling, have been largely described in the last years in a wide variety of biomedical applications. Quantitative assessment over time of the cutaneous temperature and/or of other biomedical parameters related to the temperature (e.g., cutaneous blood flow, thermal inertia, sympathetic skin response) a...Show More
fNIRS-based Monitoring of Functional Brain Network during Image Guided Hand Movements
2024 IEEE Biomedical Circuits and Systems Conference (BioCAS)
Year: 2024 | Conference Paper |
This study investigated the effects of image guidance on uni- and bi-manual movements using functional near-infrared spectroscopy (fNIRS), a pivotal wearable system for optical neuroimaging. We analyzed fNIRS signals from seven participants performing three motor tasks: left finger tapping, right finger tapping, and finger crossing under three conditions: motor execution, motor imagery, and guided...Show More
Ocean Mixed-Layer Depth and Current Variation Estimated From Imagery of Surfactant Streaks
George O. Marmorino;Jakov V. Toporkov;Geoffrey B. Smith;Mark A. Sletten;Dragana Perkovic;Stephen Frasier;K. Peter Judd
The ability of high-resolution imaging systems to resolve small-scale structure on the ocean surface suggests the possibility of using characteristics of Langmuir circulation to map the surface mixed-layer depth and near-surface current. We illustrate this using synthetic aperture radar and infrared imagery that are collected across the edge of the Gulf Stream (GS), which reveals surfactant streak...Show More
Vicarious Calibration of the TUBIN Infrared Sensor Suite
Julian Bartholomäus;Merlin F. Barschke;Philipp Werner;Enrico Stoll
2022 IEEE Sensors
Year: 2022 | Conference Paper |
TUBIN is a microsatellite mission tasked with the detection of high-temperature events from low-Earth orbit. Launched in June 2021, it employs a sensor suite consisting of two microbolometer focal plane arrays sensitive in the thermal infrared range of the electromagnetic spectrum as well as a complementary camera sensitive in the visible range. Thermal anomalies are detected within readings of th...Show More
Vicarious Calibration of the TUBIN Infrared Sensor Suite
Julian Bartholomäus;Merlin F. Barschke;Philipp Werner;Enrico Stoll
Year: 2022 | Conference Paper |
Detection of Human Skin in Near Infrared Hyperspectral Imagery
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
Year: 2008 | Conference Paper |
One of the difficulties in search and rescue missions is finding a small target, such as a person, in a large cluttered area. Airborne hyperspectral cameras are now being deployed to aid in this SAR mission. Motivated by the successes of such systems, we define a hyperspectral model of human skin in the visible and near infrared regions of the spectra so we can exploit knowledge gained during the ...Show More
A comparative analysis of face recognition performance with visible and thermal infrared imagery
2002 International Conference on Pattern Recognition
Year: 2002 | Conference Paper |
We present a comprehensive performance analysis of multiple appearance-based face recognition methodologies, on visible and thermal infrared imagery. We compare algorithms within and between modalities in terms of recognition performance, false alarm rates and requirements to achieve specified performance levels. The effect of illumination conditions on recognition performance is emphasized, as it...Show More
Stereoscopic mapping with thermal infrared images
IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)
Year: 1999 | Conference Paper |
Thermal infrared cameras using an imaging array, do have similar geometric conditions like perspective photos. So a geo-reference of the determined object temperatures is possible by means of orthophotos. A sufficient geometric accuracy requires the knowledge of the image geometry which is not available by the factory. A first test of the used ThermScan camera by self calibration with bundle block...Show More
The Effects of Different Brain Regions on fNIRS-based Task-state Detection in Speech Imagery
2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Brain-computer interface (BCI) based on speech imagery can decode users’ verbal intent and help people with motor disabilities communicate naturally. Functional near-infrared spectroscopy (fNIRS) is a commonly used brain signal acquisition method. Asynchronous BCI can response to control commands at any time, which provides great convenience for users. Task state detection, defined as identifying ...Show More
Infrared region classification using texture and model-based features
2008 IEEE International Conference on Acoustics, Speech and Signal Processing
Year: 2008 | Conference Paper |
Infrared sensors are widely utilized on manned and unmanned systems due to their ability to operate during low light conditions as well as their target discrimination capability. Machine vision algorithms that operate on infrared imagery (e.g. target detection, obstacle detection, target tracking) can significantly increase the effectiveness of platforms and the autonomy of unmanned systems. The c...Show More
Near InfraRed Imagery Colorization
Patricia L. Suárez;Angel D. Sappa;Boris X. Vintimilla;Riad I. Hammoud
2018 25th IEEE International Conference on Image Processing (ICIP)
Year: 2018 | Conference Paper |
Cited by: Papers (9)
This paper proposes a stacked conditional Generative Adversarial Network-based method for Near InfraRed (NIR) imagery colorization. We propose a variant architecture of Generative Adversarial Network (GAN) that uses multiple loss functions over a conditional probabilistic generative model. We show that this new architecture/loss-function yields better generalization and representation of the gener...Show More
Drunkenness diagnosis using a Neural Network-based approach for analysis of facial images in the thermal infrared spectrum
2017 E-Health and Bioengineering Conference (EHB)
Year: 2017 | Conference Paper |
Cited by: Papers (4)
This paper proposes a method of drunkenness detection based on analysis of thermal infrared facial images. The method consists of the following processing stages: (a) thermal infrared image acquisition; (b) Pulse-Coupled Neural Network (PCNN) image segmentation; (c) feature selection using the Principal Component Analysis (PCA) algorithm cascaded with the Linear Discriminant Analysis (LDA) algorit...Show More
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