Wyniki wyszukiwania dla: AI SAFETY · ROBUSTNESS · UNCERTAINTY ESTIMATION · PEDESTRIAN DETECTION · OBJECT DETECTION. - MOST Wiedzy

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Wyniki wyszukiwania dla: AI SAFETY · ROBUSTNESS · UNCERTAINTY ESTIMATION · PEDESTRIAN DETECTION · OBJECT DETECTION.

Wyniki wyszukiwania dla: AI SAFETY · ROBUSTNESS · UNCERTAINTY ESTIMATION · PEDESTRIAN DETECTION · OBJECT DETECTION.

  • Detection of damages in a rivetted plate

    Publikacja

    The paper presents the results of damage detection in a riveted aluminium plate. The detection method has been based on Lamb wave propagation. The plate has been analysed numerically and experimentally. Numerical calculations have been carried out by the use of the time-domain spectral finite element method, while for the experimental analysis laser scanning Doppler vibrometry (LSDV) has been utilised. The panel has been excited...

  • A novel concept for tissue-metal detection and differentiation using an inductive proximity sensor

    Publikacja

    - Rok 2016

    In this paper a novel application of inductive proximity sensors for detection of living tissue by means of measurements of the coil impedance changes at different frequencies is described. The mathematical analyses utilizing Bessel function estimation include detected object size and its distance from a sensor. The main aim of this study is to prove the possibility of distinguishing between metal objects and living tissues. The...

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  • A study of nighttime vehicle detection algorithms

    Dane Badawcze
    wersja 1.0 open access

    This dataset is from my master's thesis "A study of nighttime vehicle detection algorithms". It contains both raw data and preprocessed dataset ready to use. In the pictures below you can see how images were annotated.

  • Detection of vehicles stopping in restricted zones in video from surveillance cameras

    Publikacja

    - Rok 2014

    An algorithm for detection of vehicles that stop in restricted areas, e.g. excluded by traffic rules, is proposed. Classic approaches based on object tracking are inefficient in high traffic scenes because of tracking errors caused by frequent object merging and splitting. The proposed algorithm uses the background subtraction results for detection of moving objects, then pixels belonging to moving objects are tested for stability....

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  • Faults and Fault Detection Methods in Electric Drives

    Publikacja

    The chapter presents a review of faults and fault detection methods in electric drives. Typical faults are presented that arises for the induction motor, which is valued in the industry for its robust construction and cost-effective production. Moreover, a summary is presented of detectable faults in conjunction with the required physical information that allow a detection of specific faults. In order to address faults of a complete...

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  • Transient detection for speech coding applications

    Signal quality in speech codecs may be improved by selecting transients from speech signal and encoding them using a suitable method. This paper presents an algorithm for transient detection in speech signal. This algorithm operates in several frequency bands. Transient detection functions are calculated from energy measured in short frames of the signal. The final selection of transient frames is based on results of detection...

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  • Aleksandra Karpus dr inż.

    Aleksandra Karpus jest absolwentką Matematyki Stosowanej na Wydziale Fizyki Technicznej i Matematyki Stosowanej oraz Informatyki na Wydziale Elektroniki, Telekomunikacji i Informatyki Politechniki Gdańskiej. W latach 2011-2014 pracowała z danymi w przemyśle, wykorzystując bazy danych Oracle. Od 2014 roku jest zawodowo związana z Politechniką Gdańską, obecnie jest zatrudniona na stanowisku adiunkta naukowo-dydaktycznego w Katedrze...

  • Detection and segmentation of moving vehicles and trains using Gaussian mixtures, shadow detection and morphological processing

    Publikacja

    Solution presented in this paper combines background modelling, shadow detection and morphological and temporal processing into one system responsible for detection and segmentation of moving objects recorded with a static camera. Vehicles and trains are detected based on their pixellevel difference from the continually updated background model utilizing a Gaussian mixture calculated separately for every pixel. The shadow detection...

  • Camera Orientation-Independent Parking Events Detection

    Publikacja

    The paper describes the method for detecting precise position and time of vehicles parking in a parking lot. This task is trivial in case of favorable camera orientation but gets much more complex when an angle between the camera viewing axis and the ground is small. The method utilizes background subtraction and object tracking algorithms for detecting moving objects in a video stream. Objects are classified into vehicles and...

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  • Layered background modeling for automatic detection of unattended objects in camera images

    Publikacja

    - Rok 2011

    An algorithm for automatic detection of unattended objects in video camera images is presented. First, background subtraction is performed, using an approach based on the codebook method. Results of the detection are then processed by assigning the background pixels to time slots, based on the codeword age. Using this data, moving objects detected during a chosen period may be extracted from the background model. The proposed approach...

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  • Detection of the Oocyte Orientation for the ICSI Method Automation

    Automation or even computer assistance of the popular infertility treatment method: ICSI (Intracytoplasmic Sperm Injection) would speed up the whole process and improve the control of the results. This paper introduces a preliminary research for automatic spermatozoon injection into the oocyte cytoplasm. Here, the method for detection a correct orientation of the polar body of the oocyte is presented. Proposed method uses deep...

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  • An object-based SAR image iceberg detection algorithm applied to the Amundsen Sea

    Publikacja

    - REMOTE SENSING OF ENVIRONMENT - Rok 2017

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  • Object-oriented approach to oil spill detection using ENVISAT ASAR images

    Publikacja
    • M. Konik
    • K. Bradtke

    - ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING - Rok 2016

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  • Moving object detection and tracking for the purpose of multimodal surveillance system in urban areas

    Publikacja

    - Rok 2008

    Background subtraction method based on mixture of Gaussians was employed to detect all regions in a video frame denoting moving objects. Kalman filters were used for establishing relations between the regions and real moving objects in a scene and for tracking them continuously. The objects were represented by rectangles. The objects coupling with adequate regions including the relation of many-to-many was studied experimentally...

  • Estimation of object size in the calibrated camera image = Estymacja rozmiaru obiektów w obrazach ze skalibrowanej kamery

    In the paper, a method of estimation of the physical sizes of the objects tracked by the camera is presented. First, the camera is calibrated, then the proposed algorithm is used to estimate the real width and height of the tracked moving objects. The results of size estimation are then used for classification of the moving objects. Two methods of camera calibration are compared, test results are presented and discussed. The proposed...

  • Detection and Mitigation of GPS Spoofing Based on Antenna Array Processing

    In this article authors present an application of spatial processing methods for GPS spoofing detection and mitigation. In the first part of this article, a spoofing detection method, based on phase delay measurements, is proposed. Accuracy and precision of phase delay estimation is assessed for various qualities of received signal. Spoofing detection thresholds are determined. Efficiency of this method is evaluated in terms of...

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  • Visual Features for Endoscopic Bleeding Detection

    Aims: To define a set of high-level visual features of endoscopic bleeding and evaluate their capabilities for potential use in automatic bleeding detection. Study Design: Experimental study. Place and Duration of Study: Department of Computer Architecture, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, between March 2014 and May 2014. Methodology: The features have...

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  • Camera sabotage detection for surveillance systems

    Publikacja

    Camera dysfunction detection algorithms and their utilization in realtime video surveillance systems are described. The purpose of using the proposed analysis is explained. Regarding image tampering three algorithms for focus loss, scene obstruction and camera displacement detection are implemented and presented. Features of each module are described and certain scenarios for best performance are depicted. Implemented solutions...

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  • Detection of moving objects in images combined from video and thermal cameras

    Publikacja

    - Rok 2013

    An algorithm for detection of moving objects in video streams from the monitoring cameras is presented. A system composed of a standard video camera and a thermal camera, mounted in close proximity to each other, is used for object detection. First, a background subtraction is performed in both video streams separately, using the popular Gaussian Mixture Models method. For the next processing stage, the authors propose an algorithm...

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  • Pedestrian crossing safety management - Erasmus + European Road Safety Partnership EuroS@P

    Kursy Online
    • J. Wachnicka
    • W. Kustra
    • T. Mackun
    • M. Budzyński
    • A. Guzik

  • Automatic audio-visual threat detection

    Publikacja

    - Rok 2010

    The concept, practical realization and application of a system for detection and classification of hazardous situations based on multimodal sound and vision analysis are presented. The device consists of new kind multichannel miniature sound intensity sensors, digital Pan Tilt Zoom and fixed cameras and a bundle of signal processing algorithms. The simultaneous analysis of multimodal signals can significantly improve the accuracy...

  • Naval mine detection system based of FPGA circuit

    Electrochemical processes take place in a metal object immersed into sea water even if an anticorrosive coating is applied [1]. As a result, flowing field appears around the object. There are naval mines between many other objects situated in the sea. Naval mines can be put in the seabed in order to be more difficult to detect by sonars. Such a mine is located on the line demarking two environments of different electrical conductivity....

  • Vehicle Detection and Speed Estimation Using Millimetre Wave Radar

    Publikacja

    - Rok 2022

    The dataset titled Data from 76- to 81-GHz mmWave Sensor located at S7 road contains data recorded employing an IWR1642 mmWave sensor from Texas Instruments. The data comes from two sessions lasting 24h each. The dataset provides the possibility to perform analyses related to car traffic intensity on one of the carriageways of the motorway heading to the Gdańsk metropolitan area. Based on the gathered data, it is possible to calculate...

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  • Hierarchical 2-step neural-based LEGO bricks detection and labeling

    Publikacja

    - Rok 2021

    LEGO bricks are extremely popular and allow the creation of almost any type of construction due to multiple shapes available. LEGO building requires however proper brick arrangement, usually done by shape. With over 3700 different LEGO parts this can be troublesome. In this paper, we propose a solution for object detection and annotation on images. The solution is designed as a part of an automated LEGO bricks arrangement. The...

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  • Visual Detection of People Movement Rules Violation in Crowded Indoor Scenes

    Publikacja

    The paper presents a camera-independent framework for detecting violations of two typical people movement rules that are in force in many public transit terminals: moving in the wrong direction or across designated lanes. Low-level image processing is based on object detection with Gaussian Mixture Models and employs Kalman filters with conflict resolving extensions for the object tracking. In order to allow an effective event...

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  • Molecularly imprinted polymers for the detection of volatile biomarkers

    Publikacja

    - TRAC-TRENDS IN ANALYTICAL CHEMISTRY - Rok 2024

    In the field of cancer detection, the development of affordable, quick, and user-friendly sensors capable of detecting various cancer biomarkers, including those for lung cancer (LC), holds utmost significance. Sensors are expected to play a crucial role in the early-stage diagnosis of various diseases. Among the range of options, sensors emerge as particularly appealing for the diagnosis of various diseases, owing to their cost-effectiveness,...

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  • Rating by detection: an artifact detection protocol for rating EEG quality with average event duration

    Publikacja
    • D. Węsierski
    • M. R. Rufuie
    • O. Milczarek
    • W. Ziembla
    • P. Ogniewski
    • A. Kołodziejak
    • P. Niedbalski

    - Journal of Neural Engineering - Rok 2023

    Quantitative evaluation protocols are critical for the development of algorithms that remove artifacts from real EEG optimally. However, visually inspecting the real EEG to select the top-performing artifact removal pipeline is infeasible while hand-crafted EEG data allow assessing artifact removal configurations only in a simulated environment. This study proposes a novel, principled approach for quantitatively evaluating algorithmically...

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  • Distributed Framework for Visual Event Detection in Parking Lot Area

    The paper presents the framework for automatic detection of various events occurring in a parking lot basing on multiple camera video analysis. The framework is massively distributed, both in the logical and physical sense. It consists of several entities called node stations that use XMPP protocol for internal communication and SRTP protocol with Jingle extension for video streaming. Recognized events include detecting parking...

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  • PCR detection of Scopulariopsis brevicaulis

    Scopulariopsis brevicaulis is known as a most common etiological factor of the mould toenail infections. There are also reports indicating that S. brevicaulis could cause organ and disseminated infections. Nowadays microscopic observations from the direct sample and culture are crucial for the appropriate recognition of the infection. In this paper is presented a PCR-based method for S. brevicaulis detection. The specificity of...

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  • Molecular detection of Candida krusei

    The species identification of fungi belonging to genus Candida is an important issue as this genus becomes the emerging problem of nosocomial infections. As Candida krusei presents intrinsicresistance to the fluconazole that is the drug of the first choice in case of invasive candidiasis the PCR identifying the DNA of C. krusei was elaborated. The analytical sensitivity of the assay on spiked blood samples was estimated at 3-5...

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  • Face detection algorithms evaluation for the bank client verification

    Publikacja

    Results of investigation of face detection algorithms in the video sequences are presented in the paper. The recordings were made with a miniature industrial USB camera in real conditions met in three bank operating rooms. The aim of the experiments was to check the practical usability of the face detection method in the biometric bank client verification system. The main assumption was to provide as much as possible user interaction...

  • Direct spectrum detection based on Bayesian approach

    The paper investigates the Bayesian framework's performance for a direct detection of spectrum parameters from the compressive measurements. The reconstruction signal stage is eliminated in by the Bayesian Compressive Sensing algorithm, which causes that the computational complexity and processing time are extremely reduced. The computational efficiency of the presented procedure is significantly...

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  • Automatic Incident Detection at Intersections with Use of Telematics

    While there are many examples of Intelligent Transport System deployments in Poland, more attention should be paid to traffic incident management and detection on dual-carriageways and urban street networks. One of the aims of CIVITAS DYN@MO, a European Union funded project, is to use TRISTAR (an Urban Transport Management System) detection modules to detect incidents at junctions equipped with traffic signals. First part of paper...

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  • Detection of impulsive disturbances in archive audio signals

    Publikacja

    In this paper the problem of detection of impulsive disturbances in archive audio signals is considered. It is shown that semi-causal/noncausal solutions based on joint evaluation of signal prediction errors and leave-one-out signal interpolation errors, allow one to noticeably improve detection results compared to the prediction-only based solutions. The proposed approaches are evaluated on a set of clean audio signals contaminated...

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  • Magnetic and infrared thermography methods in detection of antipersonnel landmines

    In this paper the two alternative methods of antipersonnel landmine detection are shown: the magnetic method and the active infrared thermography. The experimental results of the detection of selected, plastic mines using both methods are also presented.

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  • Weighted Clustering for Bees Detection on Video Images

    Publikacja

    This work describes a bee detection system to monitor bee colony conditions. The detection process on video images has been divided into 3 stages: determining the regions of interest (ROI) for a given frame, scanning the frame in ROI areas using the DNN-CNN classifier, in order to obtain a confidence of bee occurrence in each window in any position and any scale, and form one detection window from a cloud of windows provided by...

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  • Remote Sensing in Vessel Detection and Navigation

    Publikacja

    - SENSORS - Rok 2020

    The Special Issue (SI) “Remote Sensing in Vessel Detection and Navigation” highlighted a variety of topics related to remote sensing with navigational sensors. The sequence of articles included in this Special Issue is in line with the latest scientific trends. The latest developments in science, including artificial intelligence, were used. The 15 papers (from 23 submitted) were published.

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  • Automatic Threat Detection for Historic Buildings in Dark Places Based on the Modified OptD Method

    Publikacja

    - ISPRS International Journal of Geo-Information - Rok 2020

    Historic buildings, due to their architectural, cultural, and historical value, are the subject of preservation and conservatory works. Such operations are preceded by an inventory of the object. One of the tools that can be applied for such purposes is Light Detection and Ranging (LiDAR). This technology provides information about the position, reflection, and intensity values of individual points; thus, it allows for the creation...

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  • Fault detection in the marine engine using a support vector data description method

    Publikacja

    - Journal of Marine Engineering and Technology - Rok 2024

    Fast detection and correct diagnosis of any engine condition changes are essential elements of safety andenvironmental protection. Many diagnostic algorithms significantly improve the detection of malfunctions.Studies on diagnostic methods are rarely reported and even less implemented in the marine engine industry.To fill this gap, this paper presents the Support Vector Data Description (SVDD) method as applied to thefault detection...

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  • Detection of Toxoplasma gondii oocysts in environmental samples

    Publikacja

    - Rok 2012

    Toxoplasma gondii is an obligate intracellular parasite that has capacity to infect warm-blooded animals. Human toxoplasmosis is usually asymptomatic, whereas severe complications may occur in immunocompromised patients (e.g. AIDS) or in case of congenitalinfection. One of the sources of acquiring human toxoplasmosis is ingestion of T. gondii oocysts. It is known that newly infected cats can shed millions of oocysts into the environment,...

  • Quantum randomness protected against detection loophole attacks

    Publikacja
    • P. A. Mironowicz
    • G. Cañas
    • J. Cariñe
    • E. S. Gómez
    • J. F. Barra
    • A. Cabello
    • G. B. Xavier
    • G. Lima
    • M. Pawłowski

    - Quantum Information Processing - Rok 2021

    Device and semi-device-independent private quantum randomness generators are crucial for applications requiring private randomness. However, they are vulnerable to detection inefficiency attacks and this limits severely their usage for practical purposes. Here, we present a method for protecting semi-device-independent private quantum randomness generators in prepare-and-measure scenarios against detection inefficiency attacks....

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  • Time-current tripping curves of arc fault detection devices

    Tripping curves of arc fault detection devices, in accordance with PN-EN 62606 “General requirements for arc fault detection devices” have been presented in the paper. Consequently the most fundamental differences in arc fault detection devices tripping compared to circuit-breakers and residual current devices have been indicated.

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  • Detection of Toxoplasma gondii in meat - available techniques

    Publikacja

    - Rok 2012

    Toxoplasma gondii, which belongs to the phylum Apicomplexa, is an absolute intercellular parasite that infects a wide range of hosts, including warm-blooded animals and humans. An infection with this parasite causes toxoplasmosis, which in most cases remains latent. However, this disease is a major threat to immunocompromised people and pregnant women. In extreme cases, it can damage nervous system or case fatal abortion. Infected...

  • Applications of Raman spectroscopy for detection of selected substances in tissues

    Publikacja

    - Rok 2019

    This dissertation explores the applications of Raman spectroscopy for biological tissue analysis. Basics of Raman and surface-enhanced Raman spectroscopy (SERS) are described, along with an analysis of the literature on biodetection and non-invasive blood analysis with emphasis on glucose detection. Instrumentation for Raman measurements is described. The sources of noise and interferences occurring in biological tissue measurements...

  • Hardware realization of shadow detection algorithm in FPGA

    W referacie opisano problem detekcji cieni w sekwencjach wideo. Na podstawie metod znanych z literatury opracowano algorytm detekcji cieni, działający w czasie rzeczywistym i przeznaczony do realizacji sprzętowej w układzie FPGA. Algorytmy zostały przetestowane i porównane w środowisku MATLAB. Za pomocą języka VHDL zrealizowano system detekcji cieni wykorzystujący opracowany algorytm i zaimplementowano go w układzie Virtex-4. Został...

  • Evaluation of Face Detection Algorithms for the Bank Client Identity Verification

    Results of investigation of face detection algorithms efficiency in the banking client visual verification system are presented. The video recordings were made in real conditions met in three bank operating outlets employing a miniature industrial USB camera. The aim of the experiments was to check the practical usability of the face detection method in the biometric bank client verification system. The main assumption was to provide...

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  • Detection of the Direct Sequence Spread Spectrum Signals with BPSK Modulation

    Publikacja

    - POLISH JOURNAL OF ENVIRONMENTAL STUDIES - Rok 2011

    This paper presents a method of the DS CDMA signals with BPSK modulation detection through the examination of the enhanced signal spectrum density. On the base of experiments carried out on the real radio communication signals the impact of a narrowband emission occurring in the examined frequency band on the detection process effectiveness was shown. The results of the experiment aimed at the detection of the satellite navigation...

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  • Modelling and uncertainty in system analysis for safety assessment.

    Publikacja
    • K. T. Kosmowski

    - Rok 2004

    Artykuł obejmuje zagadnienia związane z modelowaniem i reprezentacją niepewności i ilościowych oszacowaniach ryzyka. Problem jest istotny w praktyce, ponieważ wystęopujhą wymagania przeprowadzenia ocen niepewności miar probabilistycznych i ryzyka. Dyskutuje się potencjalne żródła niepewności i dokonuje sie przeglądu podstaw teoretycznych reprezentacji niepewności. W modelowaniu systemów zawierających nieprecyzyjnie zdefiniowane...

  • Emerging strategies for enhancing detection of explosives by artificial olfaction

    Publikacja

    - MICROCHEMICAL JOURNAL - Rok 2021

    Explosives detection systems need to be able to reliably detect a wide range of explosive materials and their vapours. The continued development and improvement of artificial olfaction techniques, including electronic nose (EN), remains important to overcome existing challenges and meet requirements posed by new improvements in the field of explosives. There is an increasingly popular trend aimed at improvement of fundamental metrological...

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  • EFFICIENT LINE DETECTION METHOD BASED ON 2D CONVOLUTION FILTER

    The article proposes an efficient line detection method using a 2D convolution filter. The proposed method was compared with the Hough transform, the most popular method of straight lines detection. The developed method is suitable for local detection of straight lines with a slope from -45˚ to 45˚. Also, it can be used for curve detection which shape is approximated with the short straight sections. The new method is characterized...

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