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检索条件"任意字段=Conference on Real-Time Image and Video Processing 2010"

共 8710 条记录，以下是321-330 订阅

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real time Cheating Detection Pipeline for Online Exams 30

Real Time Cheating Detection Pipeline for Online Exams

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30th IEEE Signal processing and Communications Applications conference (SIU)

作者： Dadak, Ahmet Uyan, Ufuk Ozturk, Mahiye Uluyagmur Huawei Turkey R&D Ctr Istanbul Turkey

ISBN: (纸本)9781665450928

Remote exams and job interviews have gained popularity due to pandemics and the advantage of remote working conditions. Most companies and institutions use online platforms for recruitment and examination. However, one of the critical problems of remote exam systems is that the exams cannot be held in a reliable environment. In this work, we present a cheating detection system for online exams. This system provides real-time detection of suspicious events such as another person, electronic device usage, candidate absent status by accessing the microphone and camera stream of the candidate's device through the browser. The cheating detection system can detect other people than candidates, electronic device usage, voice activity, and candidate absence status using state-of-the-art deep learning algorithms. When a suspicious event is detected, its moments are recorded as a video. The advantages of the real time cheating detection pipeline are as follows: 1) The system provides real time suspicious activity detection and produce instant alarm for proctors, 2) the system does not require an external program installation, 3) the number of user the system will serve at the same time has become scalable since it is run through the browser.

关键词： Cheating detection pipeline Face recognition Object detection image processing Voice processing

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realtime Scene Enhancement of Low Light image/video

Realtime Scene Enhancement of Low Light Image/Video

引用

Intelligent Computing and Human-Computer Interaction (ICHCI), International conference on

作者： Huixia Zeng Ping Xiao School of Electronic & Information Engineering Guangzhou City University of Technology Guangzhou Guangdong China

ISBN: (数字)9798350368284

ISBN: (纸本)9798350368291

The quality of image and videos plays a vital role in case of real-time systems. images are captured without sufficient illumination, lead to low dynamic range and high propensity for generating high noise levels. The processing ideas and networks of several mainstream low-light image enhancement neural network algorithms such as DRBN, DSLR, ZeroDCE, EnlightenGAN, as well as the key technologies used are compared and analyzed. In this paper, the EnglightenGAN neural network is used as the core image enhancement algorithm, and NVIDIA AGX Xavier equipment and video stream processing technology are used to achieve the entire process of video acquisition, video frame encoding, image enhancement processing, frame decoding, and video stream display. It can adapt to most low-light and dark scenes which has a good enhancement effect on video streams collected in low-light scenes. The real-time performance and image enhancement effect of the system achieved good results, with FPS reaching 10, SSIM reaching 0.51753, and PSNR reaching 27.89973.

关键词： Runtime Neural networks Lighting Streaming media real-time systems Stability analysis image enhancement Thermal stability videos Noise level

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1st International conference on Data Engineering and Machine Intelligence, ICDEMI 2023

1st International Conference on Data Engineering and Machine...

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1st International conference on Data Engineering and Machine Intelligence, ICDEMI 2023

ISBN: (纸本)9789819776153

The proceedings contain 30 papers. The special focus in this conference is on Data Engineering and Machine Intelligence. The topics include: Visualization of Data for Prediction of Features for Human Eye Complications in Machine Learning Framework;Enhancing DNS and IoT Firewall Rule-Based Algorithms and Techniques;a New Modified Extended Incremental Clustering Algorithm to Handle real-time Dynamic Data;An Innovative Approach to Track Vehicles in Dead Zones Using LoRaWAN;Autonomous System of Heavy Vehicle Using CAN Networking;unveiling Energy Depletion Attacks in Wireless Sensor Network and Defensive Mechanisms;analyzing Urban Air Pollution Using Dimensionality Reduction;exploring Techniques to Safeguard Credit Card Transactions: A Comprehensive Study on Fraud Detection and Prevention;deep Learning for Sentiment Analysis in Social Media: Current Challenges and Future Avenues;image Classifier Using Resource-Constrained Device and Tiny Machine Learning;real-time Enhancement of RFID System Identification Range Via Mifare Classic Tag Configuration;Sketch to Face Generation Using GAN for Suspect Identification;noise Removal Technique for Restoration of Medical images;comparative Analysis of Dynamic Data Placement Strategy in Distributed Cloud Environment;A Literature Survey—Application of image processing for the Effective Diagnosis of Rod Cone Dystrophy Using OCT;SMSecure: Leveraging Machine Learning for Smishing Detection;remote video Quality Assessment Using Machine Learning;optimization of IoT Devices in Smart Home to Minimize Cost Energy Conservation Based on Human Detector;Detection of Tampered images with Convolutional Neural Networks (VGG-16);Remote Sensing image Captioning (RSIC): A Technical Review;Optimization of Path Planning for Automated Vehicles Using SLAM Algorithm.

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A Comparative Analysis of the Yolo Models for Intelligent Lobster Surveillance Camera

A Comparative Analysis of the Yolo Models for Intelligent Lo...

引用

Asia-Pacific-Signal-and-Information-processing-Association Annual Summit and conference (APSIPA ASC)

作者： Akhyar, Fityanul Novamizanti, Ledya Usman, Koredianto Aditya, Ghanes Mahesa Hakim, Farhan Nur Ilman, Mukhamad Zidni Ramdhon, Ferdi Lin, Chih-Yang Univ Tunku Abdul Rahman Kuala Lumpur Malaysia Telkom Univ Inst Teknol Bandung Kabupaten Bandung Indonesia Telkom Univ Kabupaten Bandung Indonesia PT Aruna Jaya Nusantara Jakarta Indonesia Natl Cent Univ Taoyuan Taiwan

ISBN: (纸本)9798350300673

In lobster farming, monitoring of lobsters is essential and must be performed. Aruna, one of the lobster trading startups in Indonesia, is still using manual monitoring by sending divers underwater to observe the progress of the lobsters. This way is considered less effective because it is done intermittently, only at certain times and in good weather conditions. In this study, we propose to investigate object detection for underwater surveillance cameras as a means of real-time monitoring and counting of lobsters. Underwater video data is fed into the proposed system based on a deep learning-based model. This system consists of three processes: image enhancement with WaterNet as noise reduction, object counting with the YOLOv6/7/8 model, and object tracking using StrongSORT. For details, we annotated the lobster data by head only and full body. Our test results show that YOLOv7, with head annotation, has stable mean Average Precision (mAP), making it suitable for the proposed system. Then, we implemented a combination of WaterNet, YOLOv7 and StrongSORT to the proposed system architecture for the Intelligent surveillance camera.

关键词： image enhancement

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8th International conference on Computer Vision and image processing, CVIP 2023

8th International Conference on Computer Vision and Image Pr...

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8th International conference on Computer Vision and image processing, CVIP 2023

ISBN: (纸本)9783031581809

The proceedings contain 140 papers. The special focus in this conference is on Computer Vision and image processing. The topics include: A Novel Framework for Cognitive Load Estimation from Electroencephalogram Signals Utilizing Sparse Representation of Brain Connectivity;MCCNet: A Multi-scale Cross Connection Network for Low-Light image Enhancement;feature Fusion and Multi-head Attention Based Hindi Captioner;Payload Length and Location Identification Using a Novel CNN and Re-embedding Strategy in Stego images Created by Content Adaptive Steganographic Algorithms;ConvMTL: Multi-task Learning via Self-supervised Learning for Simultaneous Dense Predictions;driver Drowsiness Detection Using Vision Transformer;automated Cricket Commentary Generation for videos;image Captioning with Visual Positional Embedding and Bi-linear Pooling;Cartilage Segmentation from MRI images Towards Prediction of Osteoarthritis;Reinforcement Algorithm-Guided ROI Extraction of Fingerprint Biometric Data;improved Metric Space for Shape Correspondence;an Integrated Approach: Combining GrabCut and Contour-Matching for Hand Gesture Segmentation in Indian Sign Language;identity Preserved Expressive Talking Faces with Synchrony;isolated Sign Language Recognition Using Deep Learning;a Gradient-Based Approach to Interpreting Visual Encoding Models;adjust Your Focus: Defocus Deblurring from Dual-Pixel images Using Explicit Multi-Scale Cross-Correlation;Efficient Seizure Prediction from images of EEG Signals Using Convolutional Neural Network;coping with Increased Levels of Label Noise in Facial Expression Recognition;experimental Evaluation of Needle Tip Prediction Using Kalman Filtering Approach;a Deep Face Antispoofing System with Hardware Implementation for real-time Applications;Bit Plane Segmentation and LBP-Based Coverless video Steganography for Secure Data Transmission;a Deep Learning Approach to Enhance Semantic Segmentation of Bacteria and Pus Cells from Microscopic Urine Smear images Using

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8th International conference on Computer Vision and image processing, CVIP 2023

8th International Conference on Computer Vision and Image Pr...

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8th International conference on Computer Vision and image processing, CVIP 2023

ISBN: (纸本)9783031581731

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Accelerated real-time Local Maxima Detection in video Streams Using FPGA Technology

Accelerated Real-Time Local Maxima Detection in Video Stream...

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Asia-Pacific Signal and Information processing Association Annual Summit and conference (APSIPA)

作者： Anindhita Nayazirly Sukarno Yahwista Salomo Trio Adiono Infall Syafalni Nana Sutisna Rahmat Mulyawan Institut Teknologi Bandung Indonesia

ISBN: (数字)9798350367331

ISBN: (纸本)9798350367348

In this paper, we present a successful implementation of a local maxima filter on a Zybo Z7-20 and PYNQ Z1 FPGA using their two HDMI ports in real-time. The proposed system uses the HDMI ports to capture video frames with a resolution of 640x480 pixels. The local maxima filter is then applied to the captured frames in real-time, allowing for the detection of peaks in the image data. The filter uses a sliding window approach to determine the local maxima, and a threshold value is set to identify and retain only the most significant peaks in the image. The system was implemented using SystemVerilog Hardware Description Language (HDL). The system was developed in the Xilinx Vivado design suite and the results show that the proposed system is able to process video frames at a rate of 60 frames per second with high accuracy and low latency. The proposed implementation using SystemVerilog presents a more efficient and flexible solution for image processing applications on FPGA, making it a promising approach for real-time image processing.

关键词： Red blood cells image processing Streaming media Throughput Solids real-time systems Hardware design languages Field programmable gate arrays Streams Research and development

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Face Recognition based student detail collection using OpenCV 8

Face Recognition based student detail collection using OpenC...

引用

8th International conference on Smart Structures and Systems, ICSSS 2022

作者： Gomathy, B. Sathya, K.B.Sri Sathish, J. Santhosh, S. Sabari Krishna, S. Kpr Institute of Engineering and Technology Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9781665497619

Face recognition technology is cutting-edge and in great demand in the industry, due to the widespread use of big data and the increasing value of face recognition technology. The main purpose of this article is to develop a video processing-based, facial recognition-based student detail collection system. The four significant factors in this article are the accuracy rate of the face recognition during verification, the stability of the face recognition system in real-time video processing, and the dependability of the face recognition system with real-time video processing. The investigation of the scenario leads to the idea of a detailed collection system using facial recognition technology. There are three buttons. Like, (1) Take images (2) Save profile (3) Take Details. Open CV helps to detect and recognize the images. © 2022 IEEE.

关键词： Industries image recognition Face recognition Streaming media Big Data real-time systems Intelligent structures

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Proceedings of the 22nd International conference on image Analysis and processing, ICIAP 2023

Proceedings of the 22nd International Conference on Image An...

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Proceedings of the 22nd International conference on image Analysis and processing, ICIAP 2023

ISBN: (纸本)9783031431524

The proceedings contain 92 papers. The special focus in this conference is on image Analysis and processing. The topics include: An Effective CNN-Based Super Resolution Method for video Coding;medical Transformers for Boosting Automatic Grading of Colon Carcinoma in Histological images;FERMOUTH: Facial Emotion Recognition from the MOUTH Region;consensus Ranking for Efficient Face image Retrieval: A Novel Method for Maximising Precision and Recall;towards Explainable Navigation and Recounting;towards Facial Expression Robustness in Multi-scale Wild Environments;depth Camera Face Recognition by Normalized Fractal Encodings;automatic Generation of Semantic Parts for Face image Synthesis;improved Bilinear Pooling for real-time Pose Event Camera Relocalisation;continual Source-Free Unsupervised Domain Adaptation;End-to-End Asbestos Roof Detection on Orthophotos Using Transformer-Based YOLO Deep Neural Network;OpenFashionCLIP: Vision-and-Language Contrastive Learning with Open-Source Fashion Data;UAV Multi-object Tracking by Combining Two Deep Neural Architectures;GLR: Gradient-Based Learning Rate Scheduler;a Large-scale Analysis of Athletes’ Cumulative Race time in Running Events;uncovering Lies: Deception Detection in a Rolling-Dice Experiment;active Class Selection for Dataset Acquisition in Sign Language Recognition;MC-GTA: A Synthetic Benchmark for Multi-Camera Vehicle Tracking;a Differentiable Entropy Model for Learned image Compression;learning Landmarks Motion from Speech for Speaker-Agnostic 3D Talking Heads Generation;self-Similarity Block for Deep image Denoising;SCENE-pathy: Capturing the Visual Selective Attention of People Towards Scene Elements;not with My Name! Inferring Artists’ Names of Input Strings Employed by Diffusion Models;benchmarking of Blind video Deblurring Methods on Long Exposure and Resource Poor Settings;LieToMe: An LSTM-Based Method for Deception Detection by Hand Movements;spatial Transformer Generative Adversarial Network for image Super

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7th International conference on Computer Vision and image processing, CVIP 2022

7th International Conference on Computer Vision and Image Pr...

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7th International conference on Computer Vision and image processing, CVIP 2022

ISBN: (纸本)9783031314063

The proceedings contain 54 papers. The special focus in this conference is on Computer Vision and image processing. The topics include: CT image Synthesis from MR image Using Edge-Aware Generative Adversarial Network;Modified Scaled-YOLOv4: Soccer Player and Ball Detection for real time Implementation;candidNet: A Novel Framework for Candid Moments Detection;cost Efficient Defect Detection in Bangle Industry Using Transfer Learning;single image Dehazing Using Multipath Networks Based on Chain of U-Nets;leveraging Tri-Planar Views and Weighted Average Fusion Technique to Classify Lung Nodule Malignancy;a Bayesian Approach to Gaussian-Impulse Noise Removal Using Hessian Norm Regularization;deepTemplates: Object Segmentation Using Shape Templates;Data-Centric Approach to SAR-Optical image Translation;MIS-Net: A Deep Residual Network Based on Memorised Pooling Indices for Medical image Segmentation;linear and Non-Linear Filter-based Counter-Forensics Against image Splicing Detection;Ischemic Stroke Lesion Segmentation in CT Perfusion images Using U-Net with Group Convolutions;Multi-generator MD-GAN with Reset Discriminator: A Framework to Handle Non-IID Data;video Colorization Using Modified Autoencoder Generative Adversarial Networks;real-time Violence Detection Using Deep Neural Networks and DTW;skin Disease Detection Using Saliency Maps and Segmentation Techniques;an Alternate Approach for Single image Haze Removal Using Path Prediction;Detecting Tropical Cyclones in INSAT-3D Satellite images Using CNN-Based Model;Two Stream RGB-LBP Based Transfer Learning Model for Face Anti-spoofing;Logarithmic Progressive-SMOTE: Oversampling Minorities in Retinal Fundus Multi-disease image Dataset;HD-VAE-GAN: Hiding Data with Variational Autoencoder Generative Adversarial Networks;sequence Recognition in Bharatnatyam Dance;Multi-modality Fusion for Siamese Network Based RGB-T Tracking (mfSiamTrack).

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