Traffic sign recognition using deep learning

Traffic sign recognition using deep learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Bibliografiske detaljer
Main Authors:	Amir, Afia Binte, Nisa, Umme Habiba, Shafi, Ali Ashab, Reza, Md. Rafid-Ur
Andre forfattere:	Uddin, Dr. Jia
Format:	Thesis
Sprog:	en_US
Udgivet:	Brac University 2020
Fag:	Traffic Sign Recognition Deep Learning
Online adgang:	http://hdl.handle.net/10361/14058

Lignende værker

Speed limit traffic sign recognition in night mode based on deformable spatial pyramid
af: Pinku, Subroto Nag
Udgivet: (2016)

Night mode prohibitory traffic signs detection
af: Biswas, Rubel, et al.
Udgivet: (2017)

Detection and classification of speed limit traffic signs
af: Biswas, Rubel, et al.
Udgivet: (2017)

LVQ and HOG based speed limit traffic signs detection and categorization
af: Biswas, Rubel, et al.
Udgivet: (2017)

Blockchain-based traffic surveillance footage authenticity detection system
af: Bin Moshiur, Tasnimul, et al.
Udgivet: (2023)

Bangla sign language recognition and sentence building using deep learning
af: Shurid, Safayet Anowar, et al.
Udgivet: (2021)

Image recognition by deep learning
af: Mohiuddin, Karishma, et al.
Udgivet: (2018)

Sign Languages
af: Edited by Diane Brentari
Udgivet: (2012)

Research on generative sign language using neural networks
af: Selim, Bushra Binte, et al.
Udgivet: (2021)

Bangla sign language recognition using leap motion sensor
af: Tan, Tamkin Mahmud, et al.
Udgivet: (2020)

Image classification using deep neural network for efficient identification of traffic sign
af: Saha, Sourajit
Udgivet: (2018)

Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics
af: Hossain, Md. Shahriyar, et al.
Udgivet: (2022)

A novel lightweight CNN approach for Bangladeshi sign language gesture recognition
af: Rahman, Aryan, et al.
Udgivet: (2023)

Bengali hand sign language recognition using convolutional neural networks
af: Rumi, Roisul Islam, et al.
Udgivet: (2019)

Real time traffic density measurement using computer vision and dynamic traffic control
af: Chowdhury, Md. Fahim, et al.
Udgivet: (2018)

Visual object recognition using deep convolutional neural network
af: Ahmed, Sabbir
Udgivet: (2017)

Bangla sign language interpretation using image processing
af: Arko, Fahmid Nasif, et al.
Udgivet: (2017)

Tri-modal ensemble for enhanced Bangla sign language recognition
af: Shams, Khan Abrar, et al.
Udgivet: (2024)

Image translation of Bangla and English sign language to written language using convolutional neural network
af: Bismoy, Muttaki Islam, et al.
Udgivet: (2022)

A machine learning approach to predicting and mitigating traffic congestion
af: Faisal, Abu Fatah Mohammed, et al.
Udgivet: (2024)

An intelligent road traffic management system
af: Alam, Tahmid Tanzi, et al.
Udgivet: (2016)

An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system
af: Karim, Dewan Tanzim ul, et al.
Udgivet: (2016)

Recognition of Bangladeshi sign language from 2D videos using openpose and LSTM based RNN
af: Dewanjee, Tanmoy, et al.
Udgivet: (2021)

Sign language conversion and training by machine learning with an IOT approach
af: Nazib, Rezoan Ahmed, et al.
Udgivet: (2018)

Gesture based implementation on neural network: Bengali sign language to text conversion
af: Hasan, S.M. Farzana, et al.
Udgivet: (2018)

Classification of Bangla regional languages and recognition of artificial Bangla speech using deep learning
af: Hossain, Prommy Sultana
Udgivet: (2022)

A deep learning approach to integrate human-level understanding in a Chatbot
af: Al Mamun, Amirul Islam, et al.
Udgivet: (2021)

An automated traffic signal management system
af: Chowdhury, Partha Narayan, et al.
Udgivet: (2017)

Basic bangla sign language recognition and sentence building using Microsoft Kinect
af: Ahmed, Khan Rafin, et al.
Udgivet: (2018)

A smart avatar tutor for mimicking characters of Bangla sign language
af: Islam, Apu, et al.
Udgivet: (2024)

A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten basic to compound character recognition
af: Khan, Mohammad Meraj
Udgivet: (2022)

A novel approach to forecast traffic congestion using CMTF and machine learning
af: Chowdhury, Md. Mohiuddin, et al.
Udgivet: (2018)

Comprehensive analysis and development of deep learning models for Bengali character’s spectrogram image classification in child speech: introduction of spectro SETNet
af: Ahmed, Syed Istiaque, et al.
Udgivet: (2024)

Impact of background utilization and background traffic on the foreground applications in a wide area network
af: Uddin, Zia, et al.
Udgivet: (2016)

Real time dynamic facial recognition of subject at motion using angular image
af: Tasneem, Sharah, et al.
Udgivet: (2024)

Behavior change analysis due to violent video gaming using deep learning models
af: Rahman, Akhlak Ur, et al.
Udgivet: (2024)

Shield key: a deep learning process for the generation of public & private keys using hybrid architecture in blockchain
af: Joy, Tanvir Ahmed, et al.
Udgivet: (2021)

IoT based smart traffic control system using sumo traffic simulator
af: Hossain, Sk Md Sunny, et al.
Udgivet: (2021)

Telecommunications switching, traffic and networks /
af: Flood, J. E. (John Edward), 1925-
Udgivet: (1999)

KDANet: optical recognition for Bangla language using deep neural networks
af: Rabbi, Kazi Kamruzzaman, et al.
Udgivet: (2023)