Search results for "processing"

showing 10 items of 8572 documents

Electrophysiological Effects of Direct Electrical Stimulations During Awake Brain Surgery: Methodological Considerations

2015

International audience; IRECT electrical stimulation (DES) has long been used to perform real-time functional mapping of the brain. More recently, this technique was introduced in the neurosurgery of slow-growing and infiltrative brain tumors to guide the resection with great success. By generating transient perturbations, this method allows the real-time identification of both cortical areas and subcortical networks that are essential for the function. Thus, as much as possible, non-functional tissue can be removed while minimizing the sequelae. However, the understanding of the electrophysiological effects of DES and, in particular its remote propagation, remains an open and key question.…

[SPI.OTHER]Engineering Sciences [physics]/Other[ SPI.OTHER ] Engineering Sciences [physics]/Other[SPI.OTHER] Engineering Sciences [physics]/Other[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Visual-auditory substitution device for indoor navigation based on fast visual marker detection

2022

[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Design of ADAS Fatigue Control System using Pynq z1 and Jetson Xavier NX

2022

[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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An Optimised Indoor Deployment of Visual Sensor Networks

2022

[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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A starting point for real-time human action detection

2019

Analyzing videos of human actions involves understanding the spatial and temporal context of the scenes. State-of-the-art approaches have demonstrated impressive results using Convolution Neural Networks (CNNs). However, most of them operate in a non-real-time, offline fashion and are not well-equipped for many emerging real-world scenarios, such as autonomous driving and public surveillance. In addition, they are computationally demanding to be deployed on devices with limited power resources (e.g., embedded systems). This paper reviews state-of-the-art methods based on CNN for human action detection and related topics. Following that, we propose an initial framework to efficiently address…

[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Comparative study of deep learning and classical methods applied to face authentication in context of high constraints application

2018

International audience

[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Low-noise and low power photoreceptor using split-length MSOFET

2019

International audience

[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Real-Time Temporal Superpixels for Unsupervised remote photopletysmography

2018

International audience

[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingComputingMilieux_MISCELLANEOUS[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Multi-Scale Feature Extraction for Vehicle Detection Using Phis-Lbp

2018

International audience; Multi-resolutionobjectdetectionfacesseveraldrawbacksincludingitshighdimensionalityproducedby a richer image representation in different channels or scales. In this paper, we propose a robust and lightweight multi-resolution method for vehicle detection using local binary patterns (LBP) as channel feature. Algorithm acceleration is done using LBP histograms instead of multi-scale feature maps and by extrapolating nearby scales to avoid computing each scale. We produce a feature descriptor capable of reaching a similar precision to other computationally more complex algorithms but reducing its size from 10 to 800 times. Finally, experiments show that our method can obt…

[SPI]Engineering Sciences [physics][SPI] Engineering Sciences [physics]Computer Science::Computer Vision and Pattern Recognitionfeatures pyramidsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFeature extractionvehicle detectiontextureLocal Binary Patterns
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Remote and proximal sensing for precision agriculture and viticulture". Special issue

2021

International audience; Special Issue InformationDear Colleagues,Remote and proximal sensing are the two most common techniques concerning the acquisition of information about an object or any phenomenon without physical contact with the object. Remote sensing is widely tied to the use of satellite, airborne or UAV platforms using multi- or hyperspectral imagery. In terms of proximal sensing, the sensor is close to the object and is installed on platforms ranging from handheld, fixed installations, or robotics and tractor-embedded sensors. The types of sensors range from simple RGB or grey-level-cameras to multispectral and hyperspectral high resoluted imaging systems or even thermographic …

[SPI]Engineering Sciences [physics]remote sensing[SPI] Engineering Sciences [physics]multi- and yperspectral data and sensorsprecision agriculture and viticultureimage acquisitionproximal sensingimage processing
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