An approach towards efficient detection and recognition of traffic signs in videos using neural networks

No abstract is available for this paper.

• Publication year

  2016

• Venue

  2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)

• Publication date

  2016-03-23

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/WISPNET.2016.7566175
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Fast Traffic Sign Recognition via High-Contrast Region Extraction and Extended Sparse Representation

  2016cited by this paper
• Video-based face recognition by Auto-Associative Elman Neural network

  2014cited by this paper
• A fast and robust traffic sign recognition method using ring of RIBP histograms based feature

  2014cited by this paper
• Traffic sign detection based on convolutional neural networks

  2013cited by this paper
• A robust algorithm for detection and classification of traffic signs in video data

  2012cited by this paper
• Automatic detection and recognition of road sign for driver assistance system

  2012cited by this paper
• Two algorithms for detection of mutually occluding traffic signs

  2012cited by this paper
• Regularized Auto-Associative Neural Networks for Speaker Verification

  2012cited by this paper
• Image Recognition With the Help of Auto-Associative Neural Network

  2011cited by this paper
• Auto Associative Neural Network based Active Shape Models

  2008cited by this paper
• A linear-time component-labeling algorithm using contour tracing technique

  2004cited by this paper
• Road traffic sign detection in color images

  2003cited by this paper

• Automatic Traffic Sign Recognition System Using CNN

  2022influential citation
• Visual object detection for autonomous transport vehicles in smart factories

  2021cites this paper
• A Study on Traditional and CNN Based Computer Vision Sensors for Detection and Recognition of Road Signs with Realization for ADAS

  2021cites this paper
• Advances in Signal Processing and Intelligent Recognition Systems: 5th International Symposium, SIRS 2019, Trivandrum, India, December 18–21, 2019, Revised Selected Papers

  2020cites this paper
• Traffic Sign Detection and Recognition for Intelligent Transportation Systems: A Survey

  2020influential citation
• Visual Object Detection System for Autonomous Vehicles in Smart Factories

  2019cites this paper
• Adaptation of a Deep Learning Algorithm for Traffic Sign Detection

  2019cites this paper
• Traffic Sign Detection based on Color Segmentation of Obscure Image Candidates: A Comprehensive Study

  2018influential citation
• A Review Paper on Different Methods of Detection and Recognition of Traffic Sign for Visually Impaired People

  2018influential citation
• Partial Fulfilment of the Requirements for The Degree of Master of Science in Electrical and Electronic Engineering NICOSIA , 2017

  2017cites this paper
• Traffic sign recognition based on the NVIDIA Jetson TX1 embedded system using convolutional neural networks

  2017cites this paper
• Dynamic traffic management system via GPS tracking and localization

  2017cites this paper
• AN EFFICIENT ALGORITHM FOR IMPLEMENTING TRAFFIC SIGN DETECTION ON LOW COST EMBEDDED SYSTEM

  2017cites this paper
• On the Construction of an Automatic Traffic Sign Recognition System

  2017cites this paper
• Automatic traffic sign detection and recognition: A review

  2017cites this paper