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Fast Traffic Sign Recognition with a Rotation Invariant Binary Pattern Based Feature

Shouyi Yin, Peng Ouyang, Leibo Liu, Yike Guo, Shaojun Wei
2015 Sensors  
Second, a RIBP (Rotation Invariant Binary Pattern) based feature in the affine and Gaussian space is proposed to reduce the time of traffic sign detection and achieve robust traffic sign detection in terms  ...  Third, the techniques of ANN (Artificial Neutral Network) based feature dimension reduction and classification are designed to reduce the traffic sign recognition time.  ...  feature that is computing efficient is proposed based on ASIFT for robust traffic sign detection.  ... 
doi:10.3390/s150102161 pmid:25608217 pmcid:PMC4327121 fatcat:hlwquchsubbirajzji35rttngq

A Template-Based Approach for Real-Time Speed-Limit-Sign Recognition on an Embedded System Using GPU Computing [chapter]

Pınar Muyan-Özçelik, Vladimir Glavtchev, Jeffrey M. Ota, John D. Owens
2010 Lecture Notes in Computer Science  
Running at interactive rates, our system achieves 90% accuracy over 120 EU speed-limit signs on 45 minutes of video footage, superior to the 75% accuracy of a non-real-time GPU-based SIFT pipeline.  ...  We present a template-based pipeline that performs realtime speed-limit-sign recognition using an embedded system with a lowend GPU as the main processing element.  ...  In this study, we aim to address this challenge and perform real-time speedlimit-sign recognition on an embedded platform.  ... 
doi:10.1007/978-3-642-15986-2_17 fatcat:fnxdrpnaang5tkysglw7qejto4

Nature Scene Signs Recognition by Affine Scale-Invariant Feature Transform

Xin Li, Liuguang Song, Yuqi Sun
2021 OALib  
Recently, feature-based method has been considered to be developed into the method based on local invariant features.  ...  Abstract and Sun, Y.Q. (2021) Nature Scene Signs Recognition by Affine Scale-Invariant Feature In this paper, it is presented an approach to automatic detection and recogni- Transform.  ... 
doi:10.4236/oalib.1108225 fatcat:cj4tzyjub5aircpinjivsbplym

Speed Sign Recognition using Shape-based Features

Jafar Abukhait, Imad Zyout, Ayman M.Mansour
2013 International Journal of Computer Applications  
An efficient shape-based recognition system of U.S. speed limit road signs is presented in this paper.  ...  The proposed system accomplishes speed sign detection and recognition processes using three main stages, namely, geometrical-based detection of rectangular road signs, shape-based segmentation and feature  ...  Sign recognition of all stages 66.08 Feature selection, in general, is an important step toward better pattern recognition system, more efficient feature extraction, and also more efficient recognition  ... 
doi:10.5120/14655-2964 fatcat:dmuiauseejeqlig5cjvgltiflq

Comparative Survey on Traffic Sign Detection and Recognition: a Review

Safat Wali
2015 Przeglad Elektrotechniczny  
This paper provides a comprehensive survey on traffic sign detection and recognition system based on image and video data.  ...  Developing real-time Advanced Driver Assistance Systems (ADAS) based on video aiming to extract reliable vehicle state information has attracted a lot of attention during the past decades.  ...  Example of Speed Limit Sign detection using SVM (a) [38] (b) [39] Hough based SVM is used by Xie et al. in [40] which is invariant in various lighting, rotation, translation, scaling, viewing angle  ... 
doi:10.15199/48.2015.12.08 fatcat:iqq6xgypfbatpk4em53k5s2hn4

Speed Sign Recognition Using Sequential Cascade AdaBoost Classifier with Color Features

Oh-Seol Kwon
2019 Journal of multimedia information system  
An accurate performance was recently reported by Mathias [8] when using a HOG histogram and multi-layer SVM technique based on the distribution of lightness, yet the learning and testing require too much  ...  time for real-time processing.  ...  Recently, a speed sign recognition algorithm [12] has been developed that enables real-time processing based on GPU performance improvement.  ... 
doi:10.33851/jmis.2019.6.4.185 fatcat:rxo7gefmrzekdcpvudo4ey6cfu

Real-Time Detection and Recognition of Road Traffic Signs using MSER and Random Forests

Xianyan Kuang, Wenbin Fu, Liu Yang
2018 International Journal of Online Engineering (iJOE)  
Real-time detection and recognition of road traffic signs plays an important role in advanced driving assistance system.  ...  The experimental results show that our proposed method show strong robustness on illumination condition and rotation scale, and achieves a good performance by experiments with actual images and German  ...  To efficiently solve problems of the TSDR influenced by factors above especially the illumination variations, taking into account both speed and accuracy also, this paper proposes a method of real-time  ... 
doi:10.3991/ijoe.v14i03.7925 fatcat:oxz2gt6d7zgv3oftqr3wpfefrq

Novel Approach to Use HU Moments with Image Processing Techniques for Real Time Sign Language Communication [article]

Matheesha Fernando, Janaka Wijayanayake
2020 arXiv   pre-print
During the research available human computer interaction techniques in posture recognition was tested and evaluated.  ...  This system will also be very useful to the sign language learners as they can practice the sign language.  ...  LIMITATIONS AND DRAWBACKS As this is a real time application, process is highly depends on the user's behavior.  ... 
arXiv:2007.09859v1 fatcat:vypvllpqxfdcllmga32m5kavcu

An Accelerated Hierarchical Approach for Object Shape Extraction and Recognition

Mahmoud K Quweider, Bassam Arshad, Hansheng Lei, Liyu Zhang, Fitra Khan
2019 2019 2nd International Conference on Data Intelligence and Security (ICDIS)  
We present a novel automatic supervised object recognition algorithm based on a scale and rotation invariant Fourier descriptors algorithm.  ...  efficient for use in real-time applications.  ...  The recognition relies on extracting features, from the object of interest, that are usually invariant to translation, scale, and rotation.  ... 
doi:10.1109/icdis.2019.00030 dblp:conf/icdis/QuweiderALZK19 fatcat:upca5spm45bkbnndqjymrfr4du

Blur-invariant traffic sign recognition using compact local phase quantization

Saleh Aly, Daisuku Deguchi, Hiroshi Murase
2013 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)  
LPQ features are extracted from phase information of local regions of the traffic signs, this produces a large dimension feature vector which is not practical for real-time application.  ...  The proposed method achieved 98.6% average recognition accuracy on the German traffic sign recognition benchmark (GTSRB) database.  ...  The accuracy of recognizing speed limit signs reach 99% which is comparable with the best achieved one.  ... 
doi:10.1109/itsc.2013.6728333 dblp:conf/itsc/AlyDM13 fatcat:a7ht2pbgazbevkse7nfwvhhate

A Research Paper on Traffic Sign Recognition with Machine Learning and IOT

Mahesh Singh
2021 International Journal for Research in Applied Science and Engineering Technology  
In order to solve these problems, this paper proposes an improved algorithm based on convolutional model A classic robot which uses this algorithm which is installed through raspberry pi and performs dedicated  ...  The purpose of this research paper is to perform our machine to analyze different signs in the real world and act accordingly.  ...  GENERAL PROBLEM Traffic sign recognition is about to understand vision based real life scenarios in an artificially controlled environment.  ... 
doi:10.22214/ijraset.2021.35309 fatcat:axdgxnl7mfg4jnkwph5bzjcxg4

Feature-based speed limit sign detection using a graphics processing unit

Vladimir Glavtchev, Pinar Muyan-Ozcelik, Jeffrey M. Ota, John D. Owens
2011 2011 IEEE Intelligent Vehicles Symposium (IV)  
In this study we test the idea of using a graphics processing unit (GPU) as an embedded co-processor for realtime detection of European Union (EU) speed-limit signs.  ...  The technique maps the algorithms to the hardware such that the detection of speed-limit sign candidates is significantly accelerated.  ...  Additional thanks to James Fung and Joseph Stam for their help in architecting the RSD algorithm on the GPU using OpenGL, and John Roberts for his support on tools used for prototyping.  ... 
doi:10.1109/ivs.2011.5940539 dblp:conf/ivs/GlavtchevMOO11 fatcat:4zblfj2y5fe2bff4caan7pmf4m

Recognition of static gestures using correlation and cross-correlation

Shazia Saqib, Syed Asad Raza Kazmi
2018 International Journal of Advanced and Applied Sciences  
The technique is based on unsupervised learning.  ...  Sign language recognition has been an active area of research for around two decades and numerous sign languages have been extensively studied in order to design reliable sign language recognition systems  ...  in real time.  ... 
doi:10.21833/ijaas.2018.06.002 fatcat:a65l7yu4xbhudpcjablf4vwd6m

Offline signature recognition system using oriented FAST and rotated BRIEF

Abdel-Karim Al-Tamimi, Asseel Qasaimeh, Kefaya Qaddoum
2021 International Journal of Power Electronics and Drive Systems (IJPEDS)  
Despite recent developments in offline signature recognition systems, there is however limited focus on the recognition problem facet of using an inadequate sample size for training that could deliver  ...  This paper describes our proposed practical offline signature recognition system using the oriented FAST and rotated BRIEF (ORB) feature extraction algorithm.  ...  Scale invariant feature transform (SIFT) descriptor In 2004, SIFT [6] , [7] was proposed by D. Lowe an invariant feature detector.  ... 
doi:10.11591/ijece.v11i5.pp4095-4103 fatcat:rujvom4wxjeepoazgyk2kqjmga

Spatial and rotation invariant 3D gesture recognition based on sparse representation

Ferran Argelaguet, Melanie Ducoffe, Anatole Lecuyer, Remi Gribonval
2017 2017 IEEE Symposium on 3D User Interfaces (3DUI)  
Spatial and rotation invariant 3D gesture recognition based on sparse representation.  ...  The sparse representation of human motion provides a set of features that can be used to efficiently classify gestures in real-time.  ...  Second, a limitation, but also a strength of the proposed approach, is the rotation and speed invariances.  ... 
doi:10.1109/3dui.2017.7893333 dblp:conf/3dui/ArgelaguetDLG17 fatcat:yswrnipfczdh3kps5kfiuxkvua
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