Search results for "smart camera"

showing 10 items of 30 documents

Smart cameras on a chip: using complementary metal-oxide-semiconductor (CMOS) image sensors to create smart vision chips

2020

Abstract: In this chapter, we introduce the fundamental concept of smart cameras on a chip or smart vision chips that simultaneously integrate the same die image capture capability and highly complex image processing. Successive technology scaling has made possible the integration of specific processing elements designed at chip level, at column level or at pixel level. To illustrate this continuous evolution, we survey three different categories of vision chips, exploring first the pioneering works on artificial retinas, then describing the most significant computational chips, and finally presenting the most recent image processing chips able to perform complex algorithms at a high frame …

EngineeringCMOSPixelbusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONElectronic engineeringImage processingSmart cameraImage sensorFrame ratebusinessChipDie (integrated circuit)
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Smart camera design for intensive embedded computing

2005

Computer-assisted vision plays an important role in our society, in various fields such as personal and goods safety, industrial production, telecommunications, robotics, etc. However, technical developments are still rare and slowed down by various factors linked to sensor cost, lack of system flexibility, difficulty of rapidly developing complex and robust applications, and lack of interaction among these systems themselves, or with their environment. This paper describes our proposal for a smart camera with real-time video processing capabilities. A CMOS sensor, processor and, reconfigurable unit associated in the same chip will allow scalability, flexibility, and high performance.

Flexibility (engineering)CMOS sensorbusiness.industryComputer scienceIndustrial productionRoboticsVideo processingEmbedded systemSignal ProcessingScalabilityComputer Vision and Pattern RecognitionSmart cameraArtificial intelligenceElectrical and Electronic EngineeringImage sensorbusinessReal-Time Imaging
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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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Efficient smart-camera accelerator: A configurable motion estimator dedicated to video codec

2013

Smart cameras are used in a large range of applications. Usually the smart cameras transmit the video or/and extracted information from the video scene, frequently on compressed format to fit with the application requirements. An efficient hardware accelerator that can be adapted and provide the required coding performances according to the events detected in the video, the available network bandwidth or user requirements, is therefore a key element for smart camera solutions. We propose in this paper to focus on a key part of the compression system: motion estimation. We have developed a flexible hardware implementation of the motion estimator based on FPGA component, fully compatible with…

Motion compensationHardware and ArchitectureComputer scienceMotion estimationReal-time computingHardware accelerationCodecSmart cameraField-programmable gate arraySoftwareQuarter-pixel motionBlock-matching algorithmJournal of Systems Architecture
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WiseEye: A Platform to Manage and Experiment on Smart Camera Networks

2016

International audience; Embedded vision is probably at the edge of phenomenal expansion. The smart cameras are embedding some processing units which are more and more powerful. Last decade, high-speed image processing can be implemented on specifically designed architectures [1] nevertheless the designing time of such systems was quite high and time to market therefore as well. Since, powerful chips (i.e System On Chip) and quick prototyping methodologies are contently emerging [2],[3],[4] and enable more complex algorithms to be implemented faster. Moreover, smart cameras which are embedding flexible and powerful multi-core processors or Graphic Processors Unit (GPU) are now available and …

Real-time Image processingfall detectionSmart CameraMulti-core processorGPUsmart building[INFO.INFO-ES]Computer Science [cs]/Embedded Systems[ INFO.INFO-ES ] Computer Science [cs]/Embedded Systemscontrol accessphotopletysmography[INFO.INFO-ES] Computer Science [cs]/Embedded Systems
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Real-time estimation of geometrical transformation between views in distributed smart-cameras systems

2008

In this paper, we present a method to automatically estimate the geometric relations among the different views of cameras with partially overlapping fields of view in a wireless video-surveillance system. The method uses the locations of the detected moving objects visible at the same time in two or more views. The correspondences among objects are found by comparing their appearance models based on dominant colour descriptors while the geometric transformation are computed iteratively and may be used to solve the consistent labelling problem. As a significant part of the processing is performed on the smart cameras, the method has been conceived by taking into account the limited resources…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industryGeometric transformationMotion detectiondistributed video surveillanceObject detectionData modelingTransformation (function)Computer visionSmart cameraArtificial intelligenceImage sensorbusinessHomography (computer vision)2008 Second ACM/IEEE International Conference on Distributed Smart Cameras
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Enabling Technologies on Hybrid Camera Networks for Behavioral Analysis of Unattended Indoor Environments and Their Surroundings

2008

This paper presents a layered network architecture and the enabling technologies for accomplishing vision-based behavioral analysis of unattended environments. Specifically the vision network covers both the attended environment and its surroundings by means of multi-modal cameras. The layer overlooking at the surroundings is laid outdoor and tracks people, monitoring entrance/exit points. It recovers the geometry of the site under surveillance and communicates people positions to a higher level layer. The layer monitoring the unattended environment undertakes similar goals, with the addition of maintaining a global mosaic of the observed scene for further understanding. Moreover, it merges …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniNetwork architecturebusiness.industryReliability (computer networking)Computer laboratorydistributed video surveillanceSMART CAMERA NETWORKSBehavioral analysisMULTI-MODAL SENSOR FUSIONECamera networkGeographyHuman–computer interactionmulti-modal surveillance; wireless sensor networksEMBEDDED SMART CAMERASmulti-modal surveillanceMULTI-MODAL SENSOR FUSIONE; SMART CAMERA NETWORKS; EMBEDDED SMART CAMERASComputer visionArtificial intelligenceLayer (object-oriented design)businesswireless sensor networks
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Real-time High Dynamic Range based on Multiple Non Destructive ReadOut during a Single Exposure

2017

This paper presents a new method based on Non Destructive Readout (NDRO) to improve multi-exposure High Dynamic Range (HDR) Imaging. A sequence of Low-Dynamic Range (LDR) images can then be acquired during a single exposure. The concept enables the latency between LDR images to be removed as well as the intrinsic ghost artifacts observed using state-of-art HDR systems based on multi-exposures. The method has been applied to improve the performances of HDR sensor based on logarithmic pixels. Using the NDRO method, a Short Wave InfraRed (SWIR) camera has been designed to produce HDR IR videos. A real-time HDR video stream generation is achieved based on GPU implantation.

Single exposurePixelbusiness.industryComputer science010401 analytical chemistryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION01 natural sciencesGeneralLiterature_MISCELLANEOUS0104 chemical sciences010309 opticsNon destructive0103 physical sciencesElectronic engineeringShort wave infraredComputer visionArtificial intelligenceSmart camerabusinessHigh dynamic rangeComputingMethodologies_COMPUTERGRAPHICSProceedings of the 11th International Conference on Distributed Smart Cameras
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Système de vision à haute gamme dynamique auto adaptable

2020

High dynamic range (HDR) image generation using temporal exposure bracketing is widely used to recover the whole dynamic range of a filmed scene by fusion of two or more low dynamic range (LDR) images. Temporal exposure bracketing technique should be employed for static scenes and it cannot be applied directly for dynamic scenes. Motions introduced by moving objects in the LDR stack images create ghosts artifacts in the reconstructed HDR image. In this thesis, we have studied and evaluated a large nuber of algorithms used to correct or avoid these artifacts and we mad a trade-off between robustness and complexity in order to propose a real-time HDR video generation system.The real-time HDR …

Smart cameraHdrEmbedded systemGrande dynamiqueSystèmes embarqués[SPI.TRON] Engineering Sciences [physics]/ElectronicsFpgaCamera intelligente[SPI.TRON]Engineering Sciences [physics]/Electronics
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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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