Search results for "cameras"

showing 10 items of 38 documents

Volcanic plume and bomb field masses from thermal infrared camera imagery

2013

International audience; Masses erupted during normal explosions at Stromboli volcano (Italy) are notoriously difficult to measure. We present a method that uses thermal infrared video for cooling bomb fields to obtain the total power emitted by all hot particles emitted during an explosion. A given mass of magma (M) will emit a finite amount of thermal power, defined by M cp(Te−T0), cp and Te being magma specific heat capacity and temperature, and T0 being ambient temperature. We use this relation to convert the total power emitted by the bomb field to the mass required to generate that power. To do this we extract power flux curves for the field and integrate this through time to obtain to…

010504 meteorology & atmospheric sciences[SDE.MCG]Environmental Sciences/Global ChangesMineralogyThermal power stationheat flux010502 geochemistry & geophysics01 natural sciencesHeat capacityStromboolian explosion thermal camerasvolcanic explosionGeochemistry and PetrologyEarth and Planetary Sciences (miscellaneous)[SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/Volcanology0105 earth and related environmental sciencesgeographyvolumegeography.geographical_feature_categoryPlumeGeophysicsVolcanoVolume (thermodynamics)Heat fluxSpace and Planetary ScienceMagmamassSPHERESthermal cameraGeology
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CCTVCV: Computer Vision model/dataset supporting CCTV forensics and privacy applications

2022

The increased, widespread, unwarranted, and unaccountable use of Closed-Circuit TeleVision (CCTV) cameras globally has raised concerns about privacy risks for the last several decades. Recent technological advances implemented in CCTV cameras, such as Artificial Intelligence (AI)-based facial recognition and Internet of Things (IoT) connectivity, fuel further concerns among privacy advocates. Machine learning and computer vision automated solutions may prove necessary and efficient to assist CCTV forensics of various types. In this paper, we introduce and release the first and only computer vision models are compatible with Microsoft common object in context (MS COCO) and capable of accurately…

tekninen rikostutkintasovellukset (soveltaminen)datasetsobject detectiontekoälyprivacykameratcomputer visiontietosuojamachine learningkoneoppiminencamerasyksityisyyskameravalvontavideo surveillancekonenäköCCTVmappingkasvontunnistus (tietotekniikka)2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
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Spatially resolved SO2 flux emissions from Mt Etna

2016

Abstract We report on a systematic record of SO2 flux emissions from individual vents of Etna volcano (Sicily), which we obtained using a permanent UV camera network. Observations were carried out in summer 2014, a period encompassing two eruptive episodes of the New South East Crater (NSEC) and a fissure‐fed eruption in the upper Valle del Bove. We demonstrate that our vent‐resolved SO2 flux time series allow capturing shifts in activity from one vent to another and contribute to our understanding of Etna's shallow plumbing system structure. We find that the fissure eruption contributed ~50,000 t of SO2 or ~30% of the SO2 emitted by the volcano during the 5 July to 10 August eruptive inter…

volcanic gaseGeologicalRemote Sensing and DisastersVolcanologyVolcano SeismologyVolcano MonitoringResearch LettersVolcanic GasesVolcanic Hazards and Risksvolcanic SO2 fluxSO2 camerasResearch LetterEtnaRemote Sensing of VolcanoesInstruments and TechniquesDisaster Risk Analysis and AssessmentSO2 cameraGeophysicEarth and Planetary Sciences (all)volcanic degassingNatural HazardsSeismologySolid EarthGeophysical Research Letters
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Two-step cross correlation-based algorithm for motion estimation applied to fertilizer granules' motion during centrifugal spreading

2011

Imaging systems are progressing in both accuracy and ro- bustness, and their use in precision agriculture is increasing accordingly. One application of imaging systems is to understand and control the cen- trifugal fertilizing spreading process. Predicting the spreading pattern on the ground relies on an estimation of the trajectories and velocities of ejected granules. The algorithms proposed to date have shown low ac- curacy, with an error rate of a few pixels. But a more accurate estimation of the motion of the granules can be achieved. Our new two-step cross- correlation-based algorithm is based on the technique used in particle image velocimetry (PIV), which has yielded highly accurate…

fluid mechanicsImage processing01 natural sciences010305 fluids & plasmas010309 opticsmotion estimationMotion estimationcameras0103 physical sciencesComputer visionImage sensorMathematicsCross-correlationPixelbusiness.industrycentrifugesGeneral EngineeringfertilisersFluid mechanicsSubpixel renderingAtomic and Molecular Physics and Opticsimage processingParticle image velocimetryvelocimetersArtificial intelligencebusinessAlgorithm
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Comparison of service tactic formation on players’ movements and point outcome between national and beginner level padel

2021

The aim of this study was to analyze the influence of service tactic formation on players’ movements and point outcome at two different performance levels. The sample contained 2,148 points corresponding to 18 matches from two male padel indoor tournaments. Players were classified according to their game level: high-level (N = 36; age = 33.3 ± 6.9 years) and beginner (N = 36; age = 35.4 ± 6.8 years). Variables pertaining to service tactic formation (conventional or Australian), point outcome and movement patterns were analysed from the matches through systematic observation. The results showed how high-level players used a significantly higher percentage of the Australian formation than beg…

AdultMaleComputer and Information SciencesKinematicsScience PolicyMovementComputer VisionScienceAccelerationSocial SciencesEquipmentSample (statistics)Athletic PerformanceDiscount pointsResearch EthicsOutcome (game theory)Computer SoftwareServerTask Performance and AnalysisComputer softwareStatisticsHumansPsychologyResearch IntegrityService (business)BehaviorMultidisciplinaryMovement (music)PhysicsQAustraliaROffensiveBiology and Life SciencesSoftware EngineeringClassical MechanicsCamerasSports ScienceOptical EquipmentTennisPhysical SciencesRecreationEngineering and TechnologyMedicineGamesPsychologyResearch ArticleSportsPLOS ONE
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Structure from motion using a hybrid stereo-vision system

2015

International audience; This paper is dedicated to robotic navigation using an original hybrid-vision setup combining the advantages offered by two different types of camera. This couple of cameras is composed of one perspective camera associated with one fisheye camera. This kind of configuration , is also known under the name of foveated vision system since it is inspired by the human vision system and allows both a wide field of view and a detail front view of the scene. Here, we propose a generic and robust approach for SFM, which is compatible with a very broad spectrum of multi-camera vision systems, suitable for perspective and om-nidirectional cameras, with or without overlapping fi…

Stereo camerasbusiness.industryComputer scienceMachine vision[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONField of viewStereopsisComputer graphics (images)Structure from motion[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionSmart cameraArtificial intelligencebusinessComputer stereo visionStereo camera
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Prnu Pattern Alignment for Images and Videos Based on Scene Content

2019

This paper proposes a novel approach for registering the PRNU pattern between different camera acquisition modes by relying on the imaged scene content. First, images are aligned by establishing correspondences between local descriptors: The result can then optionally be refined by maximizing the PRNU correlation. Comparative evaluations show that this approach outperforms those based on brute-force and particle swarm optimization in terms of reliability, accuracy and speed. The proposed scene-based approach for PRNU pattern alignment is suitable for video source identification in multimedia forensics applications.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazioni021110 strategic defence & security studiesSettore INF/01 - Informaticabusiness.industryComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION0211 other engineering and technologiesPRNU SIFT image registration video stabilizationParticle swarm optimization02 engineering and technologyVideos Particle swarm optimization Image resolution Correlation Reliability Cameras SensorsIdentification (information)Content (measure theory)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessReliability (statistics)
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Design and calibration of an omni-RGB+D camera

2016

International audience; In this paper, we present the design of a new camera combining both predator-like and prey-like vision features. This setup provides both a spherical RGB-view and a directional depth-view of the environment. The model and calibration of the full setup are described. A few examples will be given to demonstrate the interest and the versatility of such camera for robotics and video surveillance at the oral presentation.

Computer scienceCamera matrixComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]01 natural sciencesfisheye03 medical and health sciences0302 clinical medicineCamera auto-calibrationComputer graphics (images)0103 physical sciencesdioptricComputer visionSmart camera010306 general physicsunified modelStereo camerasbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]stereo visionStereopsisArtificial intelligencebusiness030217 neurology & neurosurgeryComputer stereo visionStereo cameraCamera resectioning
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Depth Enhancement by Fusion for Passive and Active Sensing

2012

This paper presents a general refinement procedure that enhances any given depth map obtained by passive or active sensing. Given a depth map, either estimated by triangulation methods or directly provided by the sensing system, and its corresponding 2-D image, we correct the depth values by separately treating regions with undesired effects such as empty holes, texture copying or edge blurring due to homogeneous regions, occlusions, and shadowing. In this work, we use recent depth enhancement filters intended for Time-of-Flight cameras, and adapt them to alternative depth sensing modalities, both active using an RGB-D camera and passive using a dense stereo camera. To that end, we propose …

Homogeneous regionsComputer scienceActive SensingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONSensing systemsTime-of-flight camerasPassive and active sensing: Electrical & electronics engineering [C06] [Engineering computing & technology]Depth mapTriangulation methodComputer vision: Computer science [C05] [Engineering computing & technology]: Ingénierie électrique & électronique [C06] [Ingénierie informatique & technologie]Signal processingStereo camerasPassive sensingbusiness.industrySensorsPassive filtersTriangulation (computer vision)Depth enhancementData fusionSensor fusionCameras: Sciences informatiques [C05] [Ingénierie informatique & technologie]Depth sensingSpecial treatmentsDepth valueRGB color modelComputer visionArtificial intelligenceEnhanced Data Rates for GSM EvolutionDepth MapbusinessDepth measurementsStereo cameraStereo cameras
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Context-aware intelligent video analysis for the management of smart buildings

2019

To date, computer vision systems are limited to extract digital data of what the cameras "see". However, the meaning of what they observe could be greatly enhanced by environment and human-skills knowledge.In this work, we propose a new approach to cross-fertilize computer vision with contextual information, based on semantic modelization defined by an expert.This approach extracts the knowledge from images and uses it to perform real-time reasoning according to the contextual information, events of interest and logic rules. The reasoning with image knowledge allows to overcome some problems of computer vision such as occlusion and missed detections and to offer services such as people guid…

Modélisation des informations sur le bâtiment (BIM)[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Smart camerasCaméras inteligentesIngénierie d'OntologiesOntology engineeringRaisonnement CausalTraitement d'ImagesArtificial Inteligence (AI)Building information modeling (BIM)Computer visionCausal reasoningIntelligence artificielle (IA)
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