Traffic sign detection based on HOG and PHOG using binary SVM and k-NN-Reference-Cited by-同舟云学术

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Traffic sign detection based on HOG and PHOG using binary SVM and k-NN

Published:2016 Issue: Volume: Page:
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Container-title:2016 3rd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE)
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Author:

Sugiharto Aris,Harjoko Agus

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7887878/7892387/07892463.pdf?arnumber=7892463

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Human Figure Detection based on Convolutional Neural Network (CNN) and Support Vector Machine (SVM);2024 IEEE 6th Symposium on Computers & Informatics (ISCI);2024-08-10

2. DK-Former: A Hybrid Structure of Deep Kernel Gaussian Process Transformer Network for Enhanced Traffic Sign Recognition;IEEE Transactions on Intelligent Transportation Systems;2024

3. A Real-Time Detection of Indian Traffic Signs for Visually Impaired People;Lecture Notes in Electrical Engineering;2023

4. Traffic Sign Detection using HOG and GLCM with Decision Tree and Random Forest;2022 International Conference on Automation, Computing and Renewable Systems (ICACRS);2022-12-13

5. A Survey on Traffic Sign Classification and Recognition Methods;2022 Second International Conference on Next Generation Intelligent Systems (ICNGIS);2022-07-29

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