Wyniki wyszukiwania dla: SURGICAL INSTRUMENT TRACKING - MOST Wiedzy

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Wyniki wyszukiwania dla: SURGICAL INSTRUMENT TRACKING

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Wyniki wyszukiwania dla: SURGICAL INSTRUMENT TRACKING

  • Surgical tool tracking by on-line selection of structural correlation filters

    Publikacja

    In visual tracking of surgical instruments, correlation filtering finds the best candidate with maximal correlation peak. However, most trackers only consider capturing target appearance but not target structure. In this paper we propose surgical instrument tracking approach that integrates prior knowledge related to rotation of both shaft and tool tips. To this end, we employ rigid parts mixtures model of an instrument. The rigidly...

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  • Instrument detection and pose estimation with rigid part mixtures model in video-assisted surgeries

    Localizing instrument parts in video-assisted surgeries is an attractive and open computer vision problem. A working algorithm would immediately find applications in computer-aided interventions in the operating theater. Knowing the location of tool parts could help virtually augment visual faculty of surgeons, assess skills of novice surgeons, and increase autonomy of surgical robots. A surgical tool varies in appearance due to...

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  • Pose-Configurable Generic Tracking of Elongated Objects

    Publikacja

    - Rok 2013

    Elongated objects have various shapes and can shift, rotate, change scale, and be rigid or deform by flexing, articulating, and vibrating, with examples as varied as a glass bottle, a robotic arm, a surgical suture, a finger pair, a tram, and a guitar string. This generally makes tracking of poses of elongated objects very challenging. We describe a unified, configurable framework for tracking the pose of elongated objects, which...

  • Nanoparticle Tracking Analysis of Urinary Extracellular Vesicle Proteins as a New Challenge in Laboratory Medicine

    Publikacja
    • K. Sałaga-zaleska
    • A. Kuchta
    • B. Bzoma
    • G. Chyła-Danił
    • A. Safianowska
    • A. Płoska
    • L. Kalinowski
    • A. Dębska-ślizień
    • M. Jankowski

    - INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES - Rok 2023

    Urinary extracellular vesicle (uEV) proteins may be used as specific markers of kidney damage in various pathophysiological conditions. The nanoparticle-tracking analysis (NTA) appears to be the most useful method for the analysis of uEVs due to its ability to analyze particles below 300 nm. The NTA method has been used to measure the size and concentration of uEVs and also allows for a deeper analysis of uEVs based on their protein...

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  • A new diagnostic IR-thermal imaging method for evaluation of cardiosurgery procedures

    Two methods for monitoring the state of the myocardium during cardiosurgical interventions based on thermal IR imaging are presented below. These methods, called static thermography and active dynamic thermography (ADT), use information about the distribution of temperature on the surface, and an external excitation source to induce thermal transient processes in a tested object. Recording the time series of thermograms allows...

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  • The role of rewards and demands in burnout among surgical nurses

    Objective: Job rewards have both, an intrinsic and an extrinsic motivational potential, and lead to employees’ development as well as help them to achieve work goals. Rewards can balance job demands and protect from burnout. Due to changes on the labour market, new studies are needed. The aim of our study was to examine the role of demands and individual rewards (and their absence) in burnout among surgical nurses. Materials and...

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  • Shape-Based Pose Estimation of Robotic Surgical Instruments

    Publikacja

    We describe a detector of robotic instrument parts in image-guided surgery. The detector consists of a huge ensemble of scale-variant and pose-dedicated, rigid appearance templates. The templates, which are equipped with pose-related keypoints and segmentation masks, allow for explicit pose estimation and segmentation of multiple end-effectors as well as fine-grained non-maximum suppression. We train the templates by grouping examples...

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  • Exploring Neural Networks for Musical Instrument Identification in Polyphonic Audio

    Publikacja

    - IEEE INTELLIGENT SYSTEMS - Rok 2024

    The purpose of this paper is to introduce neural network-based methods that surpass state-of-the-art (SOTA) models, either by training faster or having simpler architecture, while maintaining comparable effectiveness in musical instrument identification in polyphonic music. Several approaches are presented, including two authors’ proposals, i.e., spiking neural networks (SNN) and a modular deep learning model named FMCNN (Fully...

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  • Musical Instrument Identification Using Deep Learning Approach

    Publikacja

    The work aims to propose a novel approach for automatically identifying all instruments present in an audio excerpt using sets of individual convolutional neural networks (CNNs) per tested instrument. The paper starts with a review of tasks related to musical instrument identification. It focuses on tasks performed, input type, algorithms employed, and metrics used. The paper starts with the background presentation, i.e., metadata...

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  • Gaze tracking in multi-display environment

    Publikacja

    - Rok 2013

    This paper presents the basic ideas of eye and gaze tracking in multiple-display environment. The algorithm for display detection and identification is described as well as the rules for gaze interaction in multi display environment. The core of the method is to use special LED markers and eye and scene tracking glasses. Scene tracking camera registers markers position which is then represented as a cloud of points. Analyzing the...

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  • Nonlinear Modeling in Time Domain Numerical Analysis of Stringed Instrument Dynamics

    Publikacja

    - Rok 2017

    Musical instruments are very various in terms of sound quality with their timbre shaped by materials and geometry. Materials' impact is commonly treated as dominant one by musicians, while it is unclear whether it is true or not. The research proposed in the study focuses on determining influence of both these factors on sound quality based on their impact on harmonic composition. Numerical approach has been chosen to allowed independent...

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  • Multi-Channel Virtual Instrument for Measuring Temperature—A Case Study

    Publikacja

    - Electronics - Rok 2023

    The article presents the hardware and software configuration of the developed multi-channel temperature measurement system as well as calibration procedures and measurement results verifying the properties of measurement channels. The system has been developed and dedicated primarily for measuring the temperature distribution in a laboratory model simulating underground power lines. With the adopted configuration of the analog...

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  • Non-intrusive infrared-free eye tracking method

    Publikacja

    - Rok 2009

    In the paper a technique of eye tracking based on visible light is presented. The approach described does not require an additional hardware equipment used in the infrared eye tracking system. First, examples of existing eye tracking techniques were presented. Then, the proposed algorithm of image processing and the process of determining the eye position are described. The engineered eye tracking application was tested and the...

  • Eye-tracking Web Usability Research

    Publikacja

    In this paper we present the results of a study that aims to evaluate the usability of three selected web services, based on eye–tracking and thinking aloud techniques. The gathered comments and observations, recapitulated and supported by particular measures, allow us to discover and describe typical user behavior pertaining to given tasks to solve.

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  • Voltage Harmonics Transfer through Medium Voltage Instrument Transformers

    Publikacja

    Voltage transformers are widely used in power quality monitoring systems in medium and high voltage grids. This paper presents accuracy problems related to voltage harmonics transfer through instrument transformers. A simplified lumped-parameters wideband circuit model of the voltage transformer is proposed and verified by simulation and experimental investigations. A number of voltage transformers have been tested in the frequency...

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  • Global sensitivity analysis of membrane model of abdominal wall with surgical mesh

    Publikacja

    - Rok 2018

    The paper addresses the issue of ventral hernia repair. Finite Element simulations can be helpful in the optimization of hernia parameters. A membrane abdominal wall model is proposed in two variants: a healthy one and including hernia defect repaired by implant. The models include many uncertainties, e.g. due to variability of abdominal wall, intraabdominal pressure value etc. Measuring mechanical properties with high accuracy...

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  • Application of gaze tracking technology to quality of experience domain

    Publikacja

    - Rok 2010

    A new methodological approach to study subjective assessment results employing gaze tracking technology is shown. Notions of Human-Computer Interaction (HCI) and Quality of Experience (QoE) are shortly introduced in the context of their common application. Then, the gaze tracking system developed at the Multimedia Systems Department (MSD) of Gdansk University of Technology (GUT) is presented. A series of audio-visual subjective...

  • Assessment of the Accuracy of a Virtual Multi-Channel Temperature Measuring Instrument

    The multi-channel temperature measurement system developed works with NTC thermistors. The article presents the results of theoretical and empirical evaluation of accuracy obtained in measurement channels. The basis for the theoretical assessment is the mathematical model for each of the measurement channels and the characteristics of the system elements included in the circuits of the measurement channel. Two different methods were...

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  • Multiple Cues-Based Robust Visual Object Tracking Method

    Publikacja
    • B. Khan
    • A. Jalil
    • A. Ali
    • K. Alkhaledi
    • K. Mehmood
    • K. M. Cheema
    • M. Murad
    • H. Tariq
    • A. M. El-Sherbeeny

    - Electronics - Rok 2022

    Visual object tracking is still considered a challenging task in computer vision research society. The object of interest undergoes significant appearance changes because of illumination variation, deformation, motion blur, background clutter, and occlusion. Kernelized correlation filter- (KCF) based tracking schemes have shown good performance in recent years. The accuracy and robustness of these trackers can be further enhanced...

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  • The evaluation of eGlasses eye tracking module as an extension for Scratch

    In this paper we present the possibility of using eGlasses eye tracking module as an extension for Scratch programming tool which is a visual programming language supporting computer skills learning. The main concept behind this project is to setup the interface for rapid interaction design. Eye tracking is a powerful tool for hands free communication but for that requires a dedicated software. This software is rarely tailored...

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  • Investigation of tracking systems properties in CAVE-type virtual reality systems

    Publikacja

    In recent years, many scientific and industrial centers in the world developed a virtual reality systems or laboratories. One of the most advanced solutions are Immersive 3D Visualization Lab (I3DVL), a CAVE-type (Cave Automatic Virtual Environment) laboratory. It contains two CAVE-type installations: six-screen installation arranged in a form of a cube, and four-screen installation, a simplified version of the previous one. The...

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  • Observing uncertainty in music tagging by automatic gaze tracking

    Publikacja

    - Rok 2011

    In this paper, a new approach to observe music file tagging process by employing a gaze tracking system is proposed. The study was conducted with the participation of twenty subjects having different musical experience. For the purpose of the experiments a website survey based on a musical database was prepared. It allowed to gather information about music experience of subjects along with music characteristics such as genre, tempo,...

  • On tracking properties of real-valued generalized adaptive notch filters

    Generalized adaptive notch filters (GANFs) are used for identification/tracking of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. The paper presents results of local performance analysis of a real-valued GANF algorithm, i.e., algorithm designed to track parameters of a real-valued system. This is an extension of the previous work which focused...

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  • On Bayesian Tracking and Prediction of Radar Cross Section

    We consider the problem of Bayesian tracking of radar cross section. The adopted observation model employs the gamma family, which covers all Swerling cases in a unified framework. State dynamics are modeled using a nonstationary autoregressive gamma process. The principal component of the proposed solution is a nontrivial gamma approximation, applied during the time update recursion. The superior performance of the proposed approach...

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  • Exploiting audio-visual correlation by means of gaze tracking

    This paper presents a novel means for increasing audio-visual correlation analysis reliability. This is done based on gaze tracking technology engineered at the Multimedia Systems Department of the Gdansk University of Technology, Poland. In the paper, the past history and current research in the area of audio-visual perception analysis are shortly reviewed. Then the methodology employing gaze tracking is presented along with the...

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  • Eye-Gaze Tracking-Based Telepresence System for Videoconferencing

    An approach to the teleimmersive videoconferencing system enhanced by the pan-tilt-zoom (PTZ) camera, controlled by the eye-gaze tracking system, is presented in this paper. An overview of the existing telepresence systems, especially dedicated to videoconferencing is included. The presented approach is based on the CyberEye eye-gaze tracking system engineered at the Multimedia Systems Department (MSD) of Gdańsk University of Technology...

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  • Parallel frequency tracking with built-in performance evaluation

    The problem of estimation of instantaneous frequency of a nonstationary complex sinusoid (cisoid) buried in wideband noise is considered. The proposed approach employs a bank of adaptive notch filters, extended with a nontrivial performance assessment mechanism which automatically chooses the best performing filter in the bank. Additionally, a computationally attractive method of implementing the bank is proposed. The new structure...

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  • Surveillance camera tracking of GEO positioned objects

    Rozdział opisuje system sterowania kamerami ruchomymi PTZ realizujący śledzenie poruszającego się obiektu o znanej pozycji GPS. Przedstawione są idea systemu oraz możliwości jego wykorzystania. Opisane są: procedura kalibracji pola widzenia kamery i sposób powiązania z danymi o lokalizacji, procedura predykcji ruchu w celu kompensacji opóźnień czasowych. Omówiony jest zaimplementowany system modułowy, w którego skład wchodzą: terminale...

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  • Eye tracking within near-to-eye display

    Publikacja

    - Rok 2015

    In this paper we investigate the effectiveness of the gaze interaction within near-to-eye display. The practical aspect of the paper is about combining an eye tracker with smart glasses. Presented research is related with the eGlasses project, which is focused on the development of an open platform in the form of multisensory electronic glasses and related interaction methods. One of the implemented interaction methods is the one...

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  • Resolving Conflicts in Object Tracking in Video Stream Employing Key Point Matching

    Publikacja

    - Rok 2012

    A novel approach to resolving ambiguous situations in object tracking in video streams is presented. The proposed method combines standard tracking technique employing Kalman filters with global feature matching method. Object detection is performed using a background subtraction algorithm, then Kalman filters are used for object tracking. At the same time, SURF key points are detected only in image sections identified as moving...

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  • Bioactive polyurethanes applied as a surgical implants

    Publikacja

    - Rok 2010

    Synthetic materials are applied in many branches of the industry, i.a. in medicine as a casing of apparatus, elements of artificial organs (hearts, blood vessels), catheters, wound healings, intra aortic balloons, mammary implants to mention but a few. Polymeric material used in such applications must be distinguished by a good biocompatybility. Since many years extensive research are employed to develop a new polymers that can...

  • Comparison of Tracking Methods in Respect of Automation of Animal Behavioral Test

    Automation in experiments carried out on animals is getting more and more important in research. Computers take over laborious and time-consuming activities like recording and analysing images of experiment scene. The first step in an image analysis is finding and distinguishing between the observed animals, and then tracking all objects during the experiment. In this paper four tracking methods are presented. Quantitative and...

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  • Application of an Electronic Nose Instrument to Fast Classification of Polish Honey Types

    The paper presents practical utilization of an electronic nose prototype, based on the FIGARO semiconductor sensors, in fast classification of Polish honey types—acacia flower, linden flower, rape, buckwheat and honeydew ones. A set of thermostating modules of the prototype provided gradient temperature characteristics of barbotage-prepared gas mixtures and stable measurement conditions. Three chemometric data analysis methods...

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  • Eye-tracking everywhere - software supporting disabled people in interaction with computers

    Publikacja

    - Rok 2022

    In this paper we present comprehensive system for communication with computer by gaze. One of the main assumptions behind this work was to provide solution that can be used with standard RGB webcam. The proposed comprehensive system included the eye tracking module and user interface for convenient gaze interaction with computer. As a result a fully functional application was developed. The average accuracy of the eye tracking...

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  • Hybrid System for a Person Tracking in Harsh Indoor Environments

    In the article, the prototype of a system for a person tracking in a harsh indoor environment, especially when no other commercially available radiolocalization system can be used, was briefly described. The prototype realizes the data fusion, i.e. combines data from inertial and environmental sensors and radio distance measurements to estimate the position of a moving person. It is worth noting that the concept and practical realization...

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  • Performance evaulation of video object tracking algorithm in autonomous surveillance system

    Results of performance evaluation of a video object tracking algorithm are presented. The method of moving objects detection and tracking is based on background modelling with mixtures of Gaussians and Kalman filters. An emphasis is put on algorithm's efficiency with regards to its settings. Utilized methods of performance evaluation based on comparison of algorithm output to manually prepared reference data are introduced. The...

  • Performance evaluation of video object tracking algorithm in autonomous surveillance system

    Publikacja

    Results of performance evaluation of a video object tracking algorithm are presented. The method of moving objects detection and tracking is based on background modelling with mixtures of Gaussians and Kalman filters. An emphasis is put on algorithm's efficiency with regards to its settings. Utilized methods of performance evaluation based on comparison of algorithm output to manually prepared reference data are introduced. The...

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  • Visual Object Tracking System Employing Fixed and PTZ Cameras

    The paper presents a video monitoring system utilizing fixed and PTZ cameras for tracking of moving objects. First type of camera provides image for background modelling, being employed for foreground objects localization. Estimated objects locations are then utilised for steering of PTZ cameras when observing targeted objects with high close-ups. Objects are classified into several classes, then basic event detection is being...

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  • An unorthodox view on the problem of tracking facial expressions

    Recent developments in imaging cameras has opened a new way of analyzing facial expression. We would like to take advantage from this new technology and present a method of imaging and processing images of human face as a response to the particular stimuli. The response in this case is represented by the facial expressions and the stimuli are still images representing six basic emotions according to Eckmann. Working hypothesis...

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  • An unorthodox view on the problem of tracking facial expressions

    Publikacja

    - Rok 2014

    Recent developments in imaging cameras has opened a new way of analyzing facial expression. We would like to take advantage from this new technology and present a method of imaging and processing images of human face as a response to the particular stimuli. The response in this case is represented by the facial expressions and the stimuli are still images representing six basic emotions according to Eckmann. Working hypothesis...

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  • Real-time facial feature tracking in poor quality thermal imagery

    Publikacja

    Recently, facial feature tracking systems have become more and more popular because of many possible use cases. Especially in medical applications location of the face and facial features are very useful. Many researches have presented methods to detect and track facial features in visible light. However, facial feature analysis in thermography may also be very advantageous. Some examples of using infrared imagery in medicine include...

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  • System for tracking multiple trains on a test railway track

    Several problems may arise when multiple trains are to be tracked using two IP camera streams. In this work, real-life conditions are simulated using a railway track model based on the Pomeranian Metropolitan Railway (PKM). Application of automatic clustering of optical flow is investigated. A complete tracking solution is developed using background subtraction, blob analysis, Kalman filtering, and a Hungarian algorithm. In total,...

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  • System for tracking multiple trains on a test railway track

    Publikacja

    Several problems may arise when multiple trains are to be tracked using two IP camera streams. In this work, real-life conditions are simulated using a railway track model based on the Pomeranian Metropolitan Railway (PKM). Application of automatic clustering of optical flow is investigated. A complete tracking solution is developed using background subtraction, blob analysis, Kalman filtering, and a Hungarian algorithm. In total,...

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  • The forecasts-based instrument rule and decision making. How closely interlinked? The case of Sweden

    Research background: The Central Bank of Sweden declared in years 1999–2006 the implementation of the Svensson’s concept of inflation forecast targeting (IFT). It means that the repo rate decision-making process depends on the inflation forecasts. The concept evolved from the strict IFT with the decision-making algorithm called ‘the rule of thumb’ to the flexible IFT. Purpose of the article: The aim of...

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  • Tonality Estimation and Frequency Tracking of Modulated Tonal Components

    A novel method for tonality estimation and frequency tracking of tonal components modulated in frequency and amplitude is presented. The algorithm detects the local maxima of magnitude spectra corresponding to three contiguous frames of a signal and matches them into the tonal track candidates. The magnitude-based and phase-based methods are used to estimate the frequency jumps between spectrum maxima belonging to the tonal track...

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  • Evaluating the Use of Edge Devices for Detection and Tracking of Vehicles in Smart City Environment

    Publikacja

    - Rok 2024

    This paper introduces a Smart City solution designed to run on edge devices, leveraging NVIDIA's DeepStream SDK for efficient urban surveillance. We evaluate five object-tracking approaches, using YOLO as the baseline detector and integrating three Nvidia DeepStream trackers: IOU, NvSORT, and NvDCF. Additionally, we propose a custom tracker based on Optical Flow and Kalman filtering. The presented approach combines advanced machine...

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  • Resolving conflicts in object tracking for automatic detection of events in video

    An algorithm for resolving conflicts in tracking of moving objects is presented. The proposed approach utilizes predicted states calculated by Kalman filters for estimation of trackers position, then it uses color and texture descriptors in order to match moving objects with trackers. Problematic situations, such as splitting objects, are addressed. Test results are presented and discussed. The algorithm may be used in the system...

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  • Tracking Moving Objects in Video Surveillance Systems with Kalman and Particle Filters – A Practical Approach

    Publikacja

    - Rok 2017

    This Chapter focuses on the first type of object tracking algorithms, namely on Kalman and particle filters. A theory of these algorithms may be found in many publications, there are also reports on implementation of these approaches to object tracking in video. However, developers of VCA systems still face two important problems. The first one is related to obtaining accurate measurements of positions and sizes of the tracked...

  • Musical Instrument Separation Applied to Music Genre Classification . Separacja instrumentów muzycznych w zastosowaniu do rozpoznawania gatunków muzycznych

    Publikacja

    - Rok 2015

    This paper outlines first issues related to music genre classification and a short description of algorithms used for musical instrument separation. Also, the paper presents proposed optimization of the feature vectors used for music genre recognition. Then, the ability of decision algorithms to properly recognize music genres is discussed based on two databases. In addition, results are cited for another database with regard to...

  • Multi-Camera Vehicle Tracking Using Local Image Features and Neural Networks

    Publikacja

    - Rok 2012

    A method for tracking moving objects crossing fields of view of multiple cameras is presented. The algorithm utilizes Artificial Neural Networks (ANNs). Each ANN is trained to recognize images of one moving object acquired by a single camera. Local image features calculated in the vicinity of automatically detected interest points are used as object image parameters. Next, ANNs are employed to identify the same objects captured...

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