Search results for " filter"

showing 10 items of 718 documents

Dynamic Augmented Kalman Filtering for Human Motion Tracking under Occlusion Using Multiple 3D Sensors

2020

In this paper real-time human motion tracking using multiple 3D sensors has been demonstrated in a relatively large industrial robot work cell. The proposed solution extends state-of-the-art by augmenting the constant velocity model and Kalman filter with low-pass filtered velocity states. The presented method is able to handle occlusions by dynamically inclusion in the Kalman filter of only those 3D sensors which provide valid human position data. Human motion tracking was achieved at a frame rate of 20 Hz, with a typical delay of 50 ms to 100 ms and an estimation accuracy of typically 0.10 m to 0.15 m.

Computer sciencebusiness.industry010401 analytical chemistry020206 networking & telecommunications02 engineering and technologyKalman filter3d sensorTracking (particle physics)Human motionFrame rate01 natural sciences0104 chemical scienceslaw.inventionIndustrial robotPosition (vector)lawOcclusion0202 electrical engineering electronic engineering information engineeringComputer visionArtificial intelligencebusiness2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA)
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Kalman filter estimation of the contention dynamics in error-prone IEEE 802.11 networks

2008

In the last years, several strategies for maximizing the throughput performance of IEEE 802.11 networks have been proposed in literature. Specifically, it has been shown that optimizations are possible both at the medium access control (MAC) layer, and at the physical (PHY) layer. In fact, at the MAC layer, it is possible to minimize the channel wastes due to collisions and backoff expiration times, by tuning the minimum contention window as a function of the number n of competing stations. At the PHY layer, it is possible to improve the transmission robustness, by selecting a suitable modulation/coding scheme as a function of the channel quality perceived by the stations. However, the feas…

Computer sciencebusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSReal-time computingPhysical layerEstimatorKalman filterNetwork allocation vectorExtended Kalman filterWLANIEEE 802.11Robustness (computer science)PHYComputer Science::Networking and Internet Architecturekalman filterbusinessComputer network
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Real-time people counting system using a single video camera

2008

This is the copy of journal's version originally published in Proc. SPIE 6811. Reprinted with permission of SPIE: http://spie.org/x10.xml?WT.svl=tn7 There is growing interest in video-based solutions for people monitoring and counting in business and security applications. Compared to classic sensor-based solutions the video-based ones allow for more versatile functionalities, improved performance with lower costs. In this paper, we propose a real-time system for people counting based on single low-end non-calibrated video camera. The two main challenges addressed in this paper are: robust estimation of the scene background and the number of real persons in merge-split scenarios. The latter…

Computer sciencebusiness.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVideo cameraImage processingKalman filterThresholdinglaw.inventionAdaptive filterlawVideo trackingSegmentationComputer visionArtificial intelligencebusiness:Mathematics and natural science: 400::Information and communication science: 420::Simulation visualization signal processing image processing: 429 [VDP]Block-matching algorithm
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Ridge-line optimal detector

2000

Image processing techniques have seen many developments in recent years. Starting from the pioneering work of Canny, Deriche developed a second order recursive filter capable of detecting stepped contours. However, there are other contour shapes that those filters struggle to detect. We describe a new optimal filter sensu Canny for detecting ridge-line contours. This is a third order recursive and even filter. It is dependent on three parameters by which detection accuracy is adjusted. The results obtained by applying this filter to (possibly noise- affected) images are compared with those in the work by Ziou. © 2000 Society of Photo-Optical Instrumentation Engineers. (S0091-3286(00)00706-6)

Computer sciencebusiness.industryDetectorGeneral EngineeringImage processingAtomic and Molecular Physics and OpticsDeriche edge detectorNoiseFilter designSignal-to-noise ratioFilter (video)Computer visionRecursive filterArtificial intelligenceOptical filterbusinessDigital filterSmoothingOptical Engineering
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Three-domain image representation for personal photo album management

2010

In this paper we present a novel approach for personal photo album management. Pictures are analyzed and described in three representation spaces, namely, faces, background and time of capture. Faces are automatically detected and rectified using a probabilistic feature extraction technique. Face representation is then produced by computing PCA (Principal Component Analysis). Backgrounds are represented with low-level visual features based on RGB histogram and Gabor filter bank. Temporal data is obtained through the extraction of EXIF (Exchangeable image file format) data. Each image in the collection is then automatically organized using a mean-shift clustering technique. While many system…

Computer sciencebusiness.industryFeature extractionCBIR - Content Based Image Retrieval automatic image annotation personal photo album managementComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processingcomputer.file_formatGabor filterAutomatic image annotationHistogramFace (geometry)RGB color modelComputer visionArtificial intelligenceImage file formatsImage sensorCluster analysisbusinesscomputer
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Real-time characterization of aspect flaws on warped surface by artificial vision

1997

Artificial vision is an efficient means of assuring the quality of a certain class of products. The vision system must respect the industrial constraints, in particular, the production rate. The geometrical features of flaws are pertinent information used for the acceptance of the controlled product. This article presents a real-time algorithm for the geometrical characterization of defects located on warped objects. The algorithms described enable the characterization of defects by their size and their 2-D shape. Both parameters are calculated in real time by simple reference to a look-up table. The 2-D shape is obtained by a geometrical transform and an interpolation. The efficiency of th…

Computer sciencebusiness.industryMachine visionOptical engineeringGeneral EngineeringImage processingImage segmentation3D modelingAtomic and Molecular Physics and OpticsProduct (mathematics)Computer visionArtificial intelligencebusinessLinear filterInterpolationOptical Engineering
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Exploring FPGA Based Lock-in Techniques for Brain Monitoring Applications

2017

Functional Near Infrared Spectroscopy (fNIRS) systems for e-health applications usually suffer of poor signal detection mainly due to a low end-to-end signal to noise ratio of the electronics chain. Lock-In Amplifiers (LIA) historically represent a powerful technique helping to improve performances in such circumstances. In this work it has been designed and implemented a digital LIA system, based on a Zynq® Field Programmable Gate Array (FPGA), trying to explore if this technique might improve fNIRS system performances. More broadly, FPGA based solution flexibility has been investigated, with particular emphasis applied to digital filter parameters, needed in the digital LIA, and i…

Computer sciencebusiness.industryNoise (signal processing)Emphasis (telecommunications)Signallaw.inventionMicroprocessorlawelectrical_electronic_engineeringVHDLDetection theorybusinessField-programmable gate arrayDigital filtercomputerComputer hardwarecomputer.programming_language
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A statistical monitoring approach for automotive on-board diagnostic systems

2007

The current generation of vehicle models are increasingly being equipped with on-board diagnostic (OBD) systems aimed at assessing the ‘state of health’ of important anti-pollution subsystems and components. In order to promptly diagnose and fix quality and reliability problems that may potentially affect such complex diagnostic systems, even during advanced development prior to mass production, some vehicle prototypes undergo a testing phase under realistic conditions of use (a mileage accumulation campaign). The aim of this work is to set up a statistical tool for improving the reliability of the OBD system by monitoring its operation during the mileage accumulation campaign of a new vehi…

Computer sciencebusiness.industryState of healthSettore SECS-S/02 - Statistica Per La Ricerca Sperimentale E TecnologicaAutocorrelationSPACED LONGITUDINAL DATASERIAL-CORRELATIONAutomotive industryKalman filterManagement Science and Operations ResearchReliability engineeringSoftwareAutoregressive modelControl chartSafety Risk Reliability and QualitybusinessReliability (statistics)Simulation
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Parameter optimization for amplify-and-forward relaying systems with pilot symbol assisted modulation scheme

2009

Article published in the journal:Wireless Sensor Network Also available from publisher: http://dx.doi.org/10.4236/wsn.2009.11003 Cooperative diversity is a promising technology for future wireless networks. In this paper, we consider a cooperative communication system operating in an amplify-and-forward (AF) mode with a pilot symbol assisted modulation (PSAM) scheme. It is assumed that a linear minimum mean square estimator (LMMSE) is used for the channel estimation at the receiver. A simple and easy-to-evaluate asymptotical upper bound (AUB) of the symbol-error-rate (SER) is derived for uncoded AF cooperative communication systems with quadrature amplitude modulation (QAM) constellations. …

Computer sciencebusiness.industryWiener filterEstimatorCommunications systemUpper and lower boundsCooperative diversityQAMsymbols.namesakeControl theoryVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552symbolsOverhead (computing)TelecommunicationsbusinessQuadrature amplitude modulationComputer Science::Information Theory
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Listwise Recommendation Approach with Non-negative Matrix Factorization

2018

Matrix factorization (MF) is one of the most effective categories of recommendation algorithms, which makes predictions based on the user-item rating matrix. Nowadays many studies reveal that the ultimate goal of recommendations is to predict correct rankings of these unrated items. However, most of the pioneering efforts on ranking-oriented MF predict users’ item ranking based on the original rating matrix, which fails to explicitly present users’ preference ranking on items and thus might result in some accuracy loss. In this paper, we formulate a novel listwise user-ranking probability prediction problem for recommendations, that aims to utilize a user-ranking probability matrix to predi…

Computer sciencebusiness.industrysuosittelujärjestelmätStochastic matrixRecommender systemMissing dataMachine learningcomputer.software_genreMatrix decompositionNon-negative matrix factorizationMatrix (mathematics)rankingRankingcollaborative filteringalgoritmitProbability distributionArtificial intelligencebusinesscomputer
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