Search results for: TRAFIC LIGHT RECOGNITION - Bridge of Knowledge

Search

Search results for: TRAFIC LIGHT RECOGNITION

Search results for: TRAFIC LIGHT RECOGNITION

  • Adversarial attack algorithm for traffic sign recognition

    Publication

    - MULTIMEDIA TOOLS AND APPLICATIONS - Year 2022

    Deep learning suffers from the threat of adversarial attacks, and its defense methods have become a research hotspot. In all applications of deep learning, intelligent driving is an important and promising one, facing serious threat of adversarial attack in the meanwhile. To address the adversarial attack, this paper takes the traffic sign recognition as a typical object, for it is the core function of intelligent driving. Considering...

    Full text to download in external service

  • Light box for investigation of characteristics of optoelectronics detectors

    Publication

    In this paper, a light box for investigation of characteristics of optoelectronic detectors is described. The light box consists of an illumination device, an optical power sensor and a mechanical enclosure. The illumination device is based on four types of high-power light emitting diodes (LED): white light, red, green and blue. The illumination level can be varied for each LED independently by the driver and is measured by optical...

    Full text to download in external service

  • Topology recognition and leader election in colored networks

    Publication

    Topology recognition and leader election are fundamental tasks in distributed computing in networks. The first of them requires each node to find a labeled isomorphic copy of the network, while the result of the second one consists in a single node adopting the label 1 (leader), with all other nodes adopting the label 0 and learning a path to the leader. We consider both these problems in networks whose nodes are equipped with...

    Full text available to download

  • Improving the Accuracy in Sentiment Classification in the Light of Modelling the Latent Semantic Relations

    Publication

    - Information - Year 2018

    The research presents the methodology of improving the accuracy in sentiment classification in the light of modelling the latent semantic relations (LSR). The objective of this methodology is to find ways of eliminating the limitations of the discriminant and probabilistic methods for LSR revealing and customizing the sentiment classification process (SCP) to the more accurate recognition of text tonality. This objective was achieved...

    Full text available to download

  • Gesture recognition framework for multimedia content viewer controlling

    Publication

    In the paper a system for controlling a multimedia content viewer by hand gestures is presented. First, selected methods used for gesture recognition are described. Two different application cases of the system, i.e. for multimedia presentation purposes and for multimedia content viewing are outlined. Moreover, a proposal of improvement of the system combining these approaches is also given. The system work cycle is reviewed. The...

  • Journal of Light & Visual Environment

    Journals

    ISSN: 0387-8805 , eISSN: 1349-8398

  • Endoscopic Videos Deinterlacing and On-Screen Text and Light Flashes Removal and Its Influence on Image Analysis Algorithms' Efficiency

    In this article, deinterlacing and removing on- screen text and light flashes methods on endoscopic video images are discussed. The research is intended to improve disease recognition algorithms' performance. In the article, four configurations of deinterlacing methods and another four configurations of text and flashes removal methods are described and examined. The efficiency of endoscopic video analysis algorithms is measured...

    Full text to download in external service

  • Follow the Light. Where to search for useful research information

    Architectural Lighting Design (ALD) has never been a standalone professional discipline. Rather, it has existed as the combination of art and the science of light. Today, third generation lighting professionals are already creatively intertwining these fields, and the acceleration in scientific, technological and societal studies has only increased the need for reliable multidisciplinary information. Therefore, a thorough re-examination...

    Full text available to download

  • LIGHT POLLUTION IN THE CONTEXT OF THREATS TO THE WILDLIFE CORRIDORS

    Publication

    - Year 2016

    Access to remote sensing night-time imagery allows for modeling of light pollution Increasingly, data on the propagation of artificial light are a source of interesting information for different fields of science and affect the planning of economic development. The article presents the problem of light pollution in the context of threats to the wildlife corridors in Poland. Wildlife corridors are areas that allow safe migration...

    Full text to download in external service

  • Comparison of edge detection algorithms for electric wire recognition

    Publication

    Edge detection is the preliminary step in image processing for object detection and recognition procedure. It allows to remove useless information and reduce amount of data before further analysis. The paper contains the comparison of edge detection algorithms optimized for detection of horizontal edges. For comparison purposes the algorithms were implemented in the developed application dedicated to detection of electric line...

    Full text to download in external service

  • Optical recognition elements: macrocyclic imidazole chromoionophores entrapped in silica xerogel

    Publication

    - MATERIALS SCIENCE-POLAND - Year 2007

    Materials containing new chromoionophores consisting of crown residue and azole moiety as partsof macrocycles were encapsulated by the sol-gel procedure in silica xerogel matrices and proposed aschemical recognition elements especially for such metal ions as Li+, Cs+ and Cu2+. Action of these recognition elements is in principle based on changes of reflectance. The recognition elements containing 21-membered chromogenic...

  • Influence of Thermal Imagery Resolution on Accuracy of Deep Learning based Face Recognition

    Publication

    Human-system interactions frequently require a retrieval of the key context information about the user and the environment. Image processing techniques have been widely applied in this area, providing details about recognized objects, people and actions. Considering remote diagnostics solutions, e.g. non-contact vital signs estimation and smart home monitoring systems that utilize person’s identity, security is a very important factor....

    Full text available to download

  • Acceleration of decision making in sound event recognition employing supercomputing cluster

    Publication

    Parallel processing of audio data streams is introduced to shorten the decision making time in hazardous sound event recognition. A supercomputing cluster environment with a framework dedicated to processing multimedia data streams in real time is used. The sound event recognition algorithms employed are based on detecting foreground events, calculating their features in short time frames, and classifying the events with Support...

    Full text to download in external service

  • Gesture Recognition With the Linear Optical Sensor and Recurrent Neural Networks

    In this paper, the optical linear sensor, a representative of low-resolution sensors, was investigated in the multiclass recognition of near-field hand gestures. The recurrent neural network (RNN) with a gated recurrent unit (GRU) memory cell was utilized as a gestures classifier. A set of 27 gestures was collected from a group of volunteers. The 27 000 sequences obtained were divided into training, validation, and test subsets....

    Full text available to download

  • Emotion Recognition

    Open Research Data
    open access - series: Person A

    The films presented here were recorded using so-called high-speed camera Phantom Miro. To play the movie  You need the special software which can be downloaded from the web site https://www.phantomhighspeed.com/resourcesandsupport/phantomresources/pccsoftware the details of the movie are available after starting the movie in the viewer in the description...

  • Emotion Recognition

    Open Research Data
    open access - series: Person A

    The films presented here were recorded using so-called high-speed camera Phantom Miro. To play the movie  You need the special software which can be downloaded from the web site https://www.phantomhighspeed.com/resourcesandsupport/phantomresources/pccsoftware the details of the movie are available after starting the movie in the viewer in the description...

  • Digits Recognition with Quadrant Photodiode and Convolutional Neural Network

    Publication

    - Year 2018

    In this paper we have investigated the capabilities of a quadrant photodiode based gesture sensor in the recognition of digits drawn in the air. The sensor consisting of 4 active elements, 4 LEDs and a pinhole was considered as input interface for both discrete and continuous gestures. Index finger and a round pointer were used as navigating mediums for the sensor. Experiments performed with 5 volunteers...

    Full text to download in external service

  • Camera angle invariant shape recognition in surveillance systems

    Publication

    A method for human action recognition in surveillance systems is described. Problems within this task are discussed and a solution based on 3D object models is proposed. The idea is shown and some of its limitations are talked over. Shape description methods are introduced along with their main features. Utilized parameterization algorithm is presented. Classification problem, restricted to bi-nary cases is discussed. Support vector...

  • Scoreboard Architectural Pattern and Integration of Emotion Recognition Results

    Publication

    This paper proposes a new design pattern, named Scoreboard , dedicated for applications solving complex, multi-stage, non-deterministic problems. The pattern provides a computational framework for the design and implementation of systems that integrate a large number of diverse specialized modules that may vary in accuracy, solution level, and modality. The Scoreboard is an extension of Blackboard design pattern and comes under...

    Full text available to download

  • Influence of the Spectral Quality of Light on Daytime Alertness Levels in Humans

    Publication
    • K. Łaszewska
    • A. Goroncy
    • P. Weber
    • T. Pracki
    • M. Tafil-klawe

    - Advances in Cognitive Psychology - Year 2018

    Exposure to light is very important for human health. However, the characteristics of the light stimulus and the appropriate timing of such exposure are essential. Studies that have used monochromatic light exposure have shown no systematic patterns for the effects of blue light compared to longer wavelengths. Previous studies have shown that red light exposure increases objective and subjective measures of alertness at night without...

    Full text available to download

  • The Indication Methods and Techniques of Urban Light Pollution

    Publication

    - Year 2021

    The goal of this study is to review and categorize approaches and methods of facing urban light pollution. Probing various references and documents, the current practice focus on extracting and reviewing different types of urban light pollution detection, survey, and measurement to define a taxonomy of methods by instant comparison. The means of measurement and detecting this pollution include 14 most cited techniques that have...

    Full text to download in external service

  • System for automatic singing voice recognition

    W artykule przedstawiono system automatycznego rozpoznawania jakości i typu głosu śpiewaczego. Przedstawiono bazę danych oraz zaimplementowane parametry. Algorytmem decyzyjnym jest algorytm sztucznych sieci neuronowych. Wytrenowany system decyzyjny osiąga skuteczność ok. 90% w obydwu kategoriach rozpoznawania. Dodatkowo wykazano przy pomocy metod statystycznych, że wyniki działania systemu automatycznej oceny jakości technicznej...

  • An Innovative New Approach to Light Pollution Measurement by Drone

    Publication

    The study of light pollution is a relatively new and specific field of measurement. The current literature is dominated by articles that describe the use of ground and satellite data as a source of information on light pollution. However, there is a need to study the phenomenon on a microscale, i.e., locally within small locations such as housing estates, parks, buildings, or even inside buildings. Therefore, there is an important...

    Full text to download in external service

  • Light-Modulated Sunscreen Mechanism in the Retina of the Human Eye

    Publication

    - JOURNAL OF PHYSICAL CHEMISTRY B - Year 2021

    The functioning of the human eye in the extreme range of light intensity requires a combination of the high sensitivity of photoreceptors with their photostability. Here, we identify a regulatory mechanism based on dynamic modulation of light absorption by xanthophylls in the retina, realized by reorientation of pigment molecules induced by trans–cis photoisomerization. We explore this photochemically switchable system using chromatographic...

    Full text available to download

  • Influence of accelerometer signal pre-processing and classification method on human activity recognition

    A study of data pre-processing influence on accelerometer-based human activity recognition algorithms is presented. The frequency band used to filter-out the accelerometer signals and the number of accelerometers involved were considered in terms of their influence on the recognition accuracy. In the test four methods of classification were used: support vector machine, decision trees, neural network, k-nearest neighbor.

    Full text to download in external service

  • Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review

    Publication

    - SENSORS - Year 2022

    The automatic emotion recognition domain brings new methods and technologies that might be used to enhance therapy of children with autism. The paper aims at the exploration of methods and tools used to recognize emotions in children. It presents a literature review study that was performed using a systematic approach and PRISMA methodology for reporting quantitative and qualitative results. Diverse observation channels and modalities...

    Full text available to download

  • On practical application of Shannon theory to character recognition and more

    Publication

    - Year 2014

    Let us consider an optical character recognition system, which in particular can be used for identifying objects that were assigned strings of some length. The system is not perfect, for example, it sometimes recognizes wrongly the characters "Y" and "V". What is the largest set of strings of given length for the system under consideration, which can be mutually correctly recognized, and the corresponding objects correctly identified?...

  • Acquisition and indexing of RGB-D recordings for facial expressions and emotion recognition

    Publication

    In this paper KinectRecorder comprehensive tool is described which provides for convenient and fast acquisition, indexing and storing of RGB-D video streams from Microsoft Kinect sensor. The application is especially useful as a supporting tool for creation of fully indexed databases of facial expressions and emotions that can be further used for learning and testing of emotion recognition algorithms for affect-aware applications....

    Full text to download in external service

  • Molecular Recognition in Complexes of TRF Proteins with Telomeric DNA

    Publication

    - PLOS ONE - Year 2014

    Telomeres are specialized nucleoprotein assemblies that protect the ends of linear chromosomes. In humans and many other species, telomeres consist of tandem TTAGGG repeats bound by a protein complex known as shelterin that remodels telomeric DNA into a protective loop structure and regulates telomere homeostasis. Shelterin recognizes telomeric repeats through its two major components known as Telomere Repeat-Binding Factors, TRF1...

    Full text available to download

  • Analysis of 2D Feature Spaces for Deep Learning-based Speech Recognition

    Publication

    - JOURNAL OF THE AUDIO ENGINEERING SOCIETY - Year 2018

    convolutional neural network (CNN) which is a class of deep, feed-forward artificial neural network. We decided to analyze audio signal feature maps, namely spectrograms, linear and Mel-scale cepstrograms, and chromagrams. The choice was made upon the fact that CNN performs well in 2D data-oriented processing contexts. Feature maps were employed in the Lithuanian word recognition task. The spectral analysis led to the highest word...

  • Parameters optimization in medicine supporting image recognition algorithms

    Publication

    - Year 2011

    In this paper, a procedure of automatic set up of image recognition algorithms' parameters is proposed, for the purpose of reducing the time needed for algorithms' development. The procedure is presented on two medicine supporting algorithms, performing bleeding detection in endoscopic images. Since the algorithms contain multiple parameters which must be specified, empirical testing is usually required to optimise the algorithm's...

  • Accelerometer-based Human Activity Recognition and the Impact of the Sample Size

    Publication

    The presented study focused on the recognition of eight user activities (e.g. walking, lying, climbing stairs) basing on the measurements from an accelerometer embedded in a mobile device. It is assumed that the device is carried in a specific location of the user’s clothing. Three types of classifiers were tested on different sizes of the samples. The influence of the time window (the duration of a single trial) on selected activities...

    Full text to download in external service

  • Light Symposium. Connecting health research with lighting practice

    Thanks to state-of-the-art medical and environmental research, our current understanding about the impact of light and lighting is improving at a rapid rate. While the evolution of lighting technologies offers promising design possibilities, it also poses new challenges to planners and the general public. This is further complicated by the fact that today’s modern indoor lifestyle means we can be completely disconnected from nature...

    Full text available to download

  • Comparison of selected off-the-shelf solutions for emotion recognition based on facial expressions

    The paper concerns accuracy of emotion recognition from facial expressions. As there are a couple of ready off-the-shelf solutions available in the market today, this study aims at practical evaluation of selected solutions in order to provide some insight into what potential buyers might expect. Two solutions were compared: FaceReader by Noldus and Xpress Engine by QuantumLab. The performed evaluation revealed that the recognition...

    Full text to download in external service

  • Automatic Singing Voice Recognition EmployingNeural Networks and Rough Sets

    Publication

    Celem badań jest automatyczne rozpoznawanie głosów śpiewaczych w kategorii rodzaju i jakości technicznej śpiewu. W artykule opisano stworzoną bazę danych głosów, która zawiera próbki głosu śpiewaków profesjonalnych i amatorskich. W dalszej części opisano parametry zdefiniowane w oparciu o zjawiska biomechaniczne w narządzie głosu podczas śpiewania. W oparciu o stworzone macierze parametrów wytrenowano i porównano automatyczne klasyfikatory...

  • 10 JAHRE LIGHT SYMPOSIUM WISMAR (LSW)

    Publication

    - LICHT - Year 2018

    Die Zukunft von Licht und Beleuchtung stand im Mittelpunkt des international ausgerichteten Light Symposiums Wismar (LSW), das vom 4. bis 8. November 2008 im Rahmen des Festjahres zum hundertjährigen Bestehen der Hochschule Wismar an der Fakultät Gestaltung stattfand. Ein weitaus wichtigerer Grund war der Wunsch, das Thema Licht und Gesundheit ganzheitlich zu thematisieren. Licht, Raum und Ästhetik sollten in Kongruenz zum salutogentischen*...

    Full text to download in external service

  • The Effect of Varying the Light Spectrum of a Scene on the Localisation of Photogrammetric Features

    Publication

    In modern digital photogrammetry, an image is usually registered via a digital matrix with an array of colour filters. From the registration of the image until feature points are detected on the image, the image is subjected to a series of calculations, i.e., demosaicing and conversion to greyscale, among others. These algorithms respond differently to the varying light spectrum of the scene, which consequently results in the feature...

    Full text to download in external service

  • Human-Computer Interface Based on Visual Lip Movement and Gesture Recognition

    The multimodal human-computer interface (HCI) called LipMouse is presented, allowing a user to work on a computer using movements and gestures made with his/her mouth only. Algorithms for lip movement tracking and lip gesture recognition are presented in details. User face images are captured with a standard webcam. Face detection is based on a cascade of boosted classifiers using Haar-like features. A mouth region is located in...

    Full text to download in external service

  • Systematic Literature Review for Emotion Recognition from EEG Signals

    Publication

    Researchers have recently become increasingly interested in recognizing emotions from electroencephalogram (EEG) signals and many studies utilizing different approaches have been conducted in this field. For the purposes of this work, we performed a systematic literature review including over 40 articles in order to identify the best set of methods for the emotion recognition problem. Our work collects information about the most...

    Full text available to download

  • Systematic Literature Review for Emotion Recognition from EEG Signals

    Publication

    Researchers have recently become increasingly interested in recognizing emotions from electroencephalogram (EEG) signals and many studies utilizing different approaches have been conducted in this field. For the purposes of this work, we performed a systematic literature review including over 40 articles in order to identify the best set of methods for the emotion recognition problem. Our work collects information about the most...

    Full text to download in external service

  • A comparative study of English viseme recognition methods and algorithm

    An elementary visual unit – the viseme is concerned in the paper in the context of preparing the feature vector as a main visual input component of Audio-Visual Speech Recognition systems. The aim of the presented research is a review of various approaches to the problem, the implementation of algorithms proposed in the literature and a comparative research on their effectiveness. In the course of the study an optimal feature vector...

    Full text available to download

  • Automatic recognition of therapy progress among children with autism

    Publication

    - Scientific Reports - Year 2017

    The article presents a research study on recognizing therapy progress among children with autism spectrum disorder. The progress is recognized on the basis of behavioural data gathered via five specially designed tablet games. Over 180 distinct parameters are calculated on the basis of raw data delivered via the game flow and tablet sensors - i.e. touch screen, accelerometer and gyroscope. The results obtained confirm the possibility...

    Full text available to download

  • A comparative study of English viseme recognition methods and algorithms

    An elementary visual unit – the viseme is concerned in the paper in the context of preparing the feature vector as a main visual input component of Audio-Visual Speech Recognition systems. The aim of the presented research is a review of various approaches to the problem, the implementation of algorithms proposed in the literature and a comparative research on their effectiveness. In the course of the study an optimal feature vector construction...

    Full text available to download

  • Local Texture Pattern Selection for Efficient Face Recognition and Tracking

    This paper describes the research aimed at finding the optimal configuration of the face recognition algorithm based on local texture descriptors (binary and ternary patterns). Since the identification module was supposed to be a part of the face tracking system developed for interactive wearable computer, proper feature selection, allowing for real-time operation, became particularly important. Our experiments showed that it is...

    Full text to download in external service

  • Feasibility Study for Food Intake Tasks Recognition Based on Smart Glasses

    Publication

    - Journal of Medical Imaging and Health Informatics - Year 2015

    In this exploratory study 13 adult test subjects have performed different food intake tasks while wearing a three axis accelerometer mounted at a temple of glasses. Two different algorithms for task recognition have been applied and compared. The retrospective data processing leads to better task recognition results when the frequency range of 50 Hz to 100 Hz is analysed within accelerometer signal recordings. A straightforward...

    Full text to download in external service

  • Fuzzy rule-based dynamic gesture recognition employing camera & multimedia projector

    Publication

    - Year 2010

    In the paper the system based on camera and multimedia projector enabling a user to control computer applications by dynamic hand gestures is presented. The main objective is to present the gesture recognition methodology which bases on representing hand movement trajectory by motion vectors analyzed using fuzzy rule-based inference. The approach was engineered in the system developed with J2SE and C++ / OpenCV technology. OpenCV...

    Full text to download in external service

  • Asynchronous Charge Carrier Injection in Perovskite Light-Emitting Transistors

    Publication

    - Advanced Electronic Materials - Year 2023

    Unbalanced mobility and injection of charge carriers in metal-halide perovskite light-emitting devices pose severe limitations to the efficiency and response time of the electroluminescence. Modulation of gate bias in methylammonium lead iodide light-emitting transistors has proven effective in increasing the brightness of light emission up to MHz frequencies. In this work, a new approach is developed to improve charge carrier...

    Full text available to download

  • Sign Language Recognition Using Convolution Neural Networks

    Publication

    The objective of this work was to provide an app that can automatically recognize hand gestures from the American Sign Language (ASL) on mobile devices. The app employs a model based on Convolutional Neural Network (CNN) for gesture classification. Various CNN architectures and optimization strategies suitable for devices with limited resources were examined. InceptionV3 and VGG-19 models exhibited negligibly higher accuracy than...

    Full text available to download

  • A survey of automatic speech recognition deep models performance for Polish medical terms

    Among the numerous applications of speech-to-text technology is the support of documentation created by medical personnel. There are many available speech recognition systems for doctors. Their effectiveness in languages such as Polish should be verified. In connection with our project in this field, we decided to check how well the popular speech recognition systems work, employing models trained for the general Polish language....

    Full text to download in external service

  • Hybrid of Neural Networks and Hidden Markov Models as a modern approach to speech recognition systems

    The aim of this paper is to present a hybrid algorithm that combines the advantages ofartificial neural networks and hidden Markov models in speech recognition for control purpos-es. The scope of the paper includes review of currently used solutions, description and analysis of implementation of selected artificial neural network (NN) structures and hidden Markov mod-els (HMM). The main part of the paper consists of a description...

    Full text available to download