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Road and traffic sign detection and recognition



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Road and traffic sign detection and recognition


10th EWGT Meeting and 16th Mini-EURO Conference - iasi.rm.cnr.it

Advanced OR and AI Methods in Transportation 2004



  1. Fleyeh, H.

Color detection and segmentation for road and traffic signs 

IEEE Conference on Cybernetics and Intelligent Systems, pp. 808-813, 2004



  1. Loy, G., Barnes, N.

Fast shape-based road sign detection for a driver assistance systém

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 1, pp. 70-75, 2004



  1. Petersson, L., Fletcher, L., Barnes, N., Zelinsky, A.

An interactive driver assistance system monitoring the scene in and out of the vehicle 

Proceedings - IEEE International Conference on Robotics and Automation 2004 (4), pp. 3475-3481, 2004



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A non-parameter bayesian classifier for face recognition
JOURNAL OF ELECTRONICS (CHINA) 2003

  1. Shawkat Ali, K A. Smith
    Matching SVM kernel's suitability to data characteristics using tree by fuzzy C-means clustering

DESIGN AND APPLICATION OF HYBRID INTELLIGENT SYSTEMS Chapter in Book: 553-562  2003

  1. AA Farag, AE Abdel-Hakim

Detection, Categorization and Recognition of Road Signs for Autonomous Navigation
Advanced Concepts in Intelligent Vision Systems (ACIVS’2004) - cvip.uofl.edu

  1. S Hezel

FPGA-basiertes TEMPLATE-matching mit distanztransformierten Bildern
- 2004 - www-li5.ti.uni-mannheim.de

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Matching SVM kernel's suitability to data characteristics using tree by fuzzy C-means clustering
Design and application of hybrid intelligent systems table …, 2003 - portal.acm.org

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A NON-PARAMETER BAYESIAN CLASSIFIER FOR FACE RECOGNITION
JOURNAL OF ELECTRONICS (CHINA) 2003 Vol.20 No.5 P.362-370

  1. SR Madeira, LC Bastos, AM Sousa, JF Sobral, LP …

AUTOMATIC TRAFFIC SIGNS INVENTORY USING A MOBILE MAPPING SYSTEM

gec.di.uminho.pt



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Unified Relevance Models for Rating Prediction in Collaborative Filtering
Workshop on Large Scale Distributed Systems for Information … - cwi.nl

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Sign Detection and Driving Competency for Older Drivers with Impaired Vision
- araa.asn.au
CITATION:
ROAD SIGN CLASSIFICATION WITHOUT COLOR INFORMATION

PACLIK P, NOVOVICOVA J

Proc. of the 6th Annual Conference of the Advanced School, 2000

Times Cited: 9 (4A+5B)


  1. MS Prieto, AR Allen

Using self-organising maps in the detection and recognition of road signs


Image and Vision Computing 27 (6), pp. 673-683, May 2009

  1. YY Nguwi, AZ Kouzani

Detection and classification of road signs in natural environments

NEURAL COMPUTING & APPLICATIONS MAY 2007



  1. A Koncar, H Janßen, S Halgamuge

Gabor wavelet similarity maps for optimising hierarchical road sign classifiers


PATTERN RECOGNITION LETTERS 28 (2), pp. 525-534, January 2007

  1. YY Nguwi, AZ Kouzani

Automatic Road Sign Recognition Using Neural Networks


Neural Networks, 2006. IJCNN'06. International Joint … - ieeexplore.ieee.org

  1. Zhang H, Luo DY
    A new method for traffic signs classification using probabilistic neural networks 
    LECTURE NOTES IN COMPUTER SCIENCE 3973: 33-39 2006

  2. P Silapachote, J Weinman,A Hanson, MA Mattar, R Weis

Automatic Sign Detection and Recognition in Natural Scenes

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPRW'05) - Workshops   p. 27

  1. M Shneier

Road sign detection and recognition
Proceedings of SPIE, 2006 - isd.cme.nist.gov

  1. Zhang H, Luo DY

A New Method for Traffic Signs Classification Using Probabilistic Neural Networks
Advances in Neural Networks-ISNN 2006, 2006 - Springer

  1. P Silapachote, A Hanson, R Weiss

A hierarchical approach to sign recognition
Proc. of IEEE Workshop on Applications of Computer Vision 2005, Vol 1, pp. 22-28 - doi.ieeecomputersociety.org


CITATION:


BUILDING ROAD-SIGN CLASSIFIERS USING A TRAINABLE SIMILARITY MEASURE
PACLIK P., NOVOVICOVA, J, DUIN, R.P.W

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS


7:(3) 309-321 SEP 2006


Times Cited: 25 (19A+6B)


  1. Ruta A, Li YM, Liu XH

Real-time traffic sign recognition from video by class-specific discriminative features
PATTERN RECOGNITION   Volume: 43   Issue: 1   Pages: 416-430   Published: JAN 2010
  1. S Šegvic, K Brkic, Z Kalafatic, V Stanisavljevic

Towards automatic assessment and mapping of traffic infrastructure by adding vision …


MIPS 2009

  1. Baro X, Escalera S, Vitria J, et al.

Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification
Source: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS   Volume: 10   Issue: 1   Pages: 113-126   Published: MAR 2009

  1. Ruta A, Li YM, Liu XH

Detection, Tracking and Recognition of Traffic Signs from Video Input
Conference Information: 11th IEEE International Conference on Intelligent Transportation Systems (ITSC 2008), OCT 12-15, 2008 Beijing, PEOPLES R CHINA
PROCEEDINGS OF THE 11TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS   Pages: 55-60   Published: 2008

  1. K Zhang, Y Sheng, P Wang, L Luo, C Ye, Z Gong

Automatic Recognition of Traffic Signs in Natural Scene Image based on Central Projection …


Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B3b. Beijing 2008

  1. TT Zin, SS Koh, H Hama

Robust Signboard Recognition for Vision-based Navigation


INFORMATION AND MEDIA TECHNOLOGIES, 2008

  1. Barnes N, Zelinsky A, Fletcher LS

Real-time speed sign detection using the radial symmetry detector
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS   Volume: 9   Issue: 2   Pages: 322-332   Published: JUN 2008

  1. Maldonado-Bascón, S., Lafuente-Arroyo, S., Siegmann, P., Gómez-Moreno, H., Acevedo-Rodríguez, F.J.

Traffic sign recognition system for inventory purposes

IEEE Intelligent Vehicles Symposium, Proceedings, art. no. 4621233, pp. 590-595, 2008



  1. Gil-Jiménez, P., Gómez-Moreno, H., Siegmann, P., Lafuente-Arroyo, S., Maldonado-Bascon, S.

Traffic sign array decomposition using Support Vector Machines 

IEEE Intelligent Vehicles Symposium, Proceedings, art. no. 4621232, pp. 584-589, 2008



  1. Cyganek, B.

Intelligent system for traffic signs recognition in moving vehicles

LECTURE NOTES IN COMPUTER SCIENCE 5027 LNAI: 139-148, 2008



  1. Cyganek, B.

Real-time road signs tracking with the fuzzy continuously adaptive mean shift algorithm 

LECTURE NOTES IN COMPUTER SCIENCE 5097 LNAI: 217-228, 2008



  1. TT Zin, SS Koh, H Hama

Robust Signboard Recognition for Vision-based Navigation


INFORMATION AND MEDIA TECHNOLOGIES, 2008

  1. Sheng, Y., Zhang, K., Ye, C., Liang, C., Li, J.

Automatic detection and recognition of traffic signs in stereo images based on features and probabilistic neural networks 

Proceedings of SPIE - The International Society for Optical Engineering 7000, art. no. 70001I, 2008



  1. Nguwi YY, Kouzani AZ

Detection and classification of road signs in natural environments
NEURAL COMPUTING & APPLICATIONS   Volume: 17   Issue: 3   Pages: 265-289   Published: JUN 2008

  1. G Tepvorachai

An Evolutionary Platform for Retargetable Image and Signal Processing Applications


Ph.D. Thesis- 2008

  1. Gil-Jiménez, P., Gómez-Moreno, H., Siegmann, P., Lafuente-Arroyo, S., Maldonado-Bascón, S.

Traffic sign shape classification based on Support Vector Machines and the FFT of the signature of blobs 

IEEE Intelligent Vehicles Symposium, Proceedings, art. no. 4290143, pp. 375-380, 2007



  1. Kouzani, A.Z.

Road-sign identification using ensemble learning

IEEE Intelligent Vehicles Symposium, Proceedings, art. no. 4290154, pp. 438-443, 2007



  1. Ruta A, Li Y, Liu X

Traffic Sign Recognition Using Discriminative Local Features

LECTURE NOTES IN COMPUTER SCIENCE 4723: 355-366 2007



  1. Cyganek B

Circular road signs recognition with soft classifiers
INTEGRATED COMPUTER-AIDED ENGINEERING   Volume: 14   Issue: 4   Pages: 323-343   Published: 2007

  1. Tepvorachai G, Papachristou C

Facial image associative memory model
Conference Information: 2nd NASA/ESA Conference on Adaptive Hardware and Systems, AUG 05-08, 2007 Univ Edinburgh, Edinburgh, SCOTLAND
NASA/ESA Conference on Adaptive Hardware and Systems, Proceedings   Pages: 233-240   Published: 2007

  1. JP Carrasco, A De La Escalera, JM Armingol

Speed Supervisor for Intelligent Vehicles

LECTURE NOTES IN COMPUTER SCIENCE 4739: 1175-1182, 2007


  1. RB SAMSUDIN, SBIN DERIS, MRBIN OTHMAN

THE DEVELOPMENT OF SEMANTIC META-DATABASE: AN ONTOLOGY BASED SEMANTIC INTEGRATION OF BIOLOGICAL …


Research Report No 74289, 2007

  1. Zin, T.T., Koh, S.S., Hama, H.

Robust signboard recognition for vision-based navigation 

Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers 61 (8), pp. 1192-1200, 2006



  1. RM Othman, S Deris, RM Illias

Computational Method for Annotation of Protein Sequence According to Gene Ontology Terms


International Journal of Medicine and Medical Science 1:3, 186-199, 2006

  1. YSL Jung-Chieh Hsien, SY Chen

Road Sign Detection and Recognition Using Hidden Markov Model


Asian Journal of Health and Information Sciences,
Vol. 1, No. 1, pp. 85-100, 2006


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A TRAINABLE SIMILARITY MEASURE FOR IMAGE CLASSIFICATION
PACLIK P., NOVOVICOVA, J, DUIN, R.P.W

PROCEEDINGS OF THE 18 TH INTERNATIONAL CONFERENCE ON PATTERN


RECOGNITION

HONG KONG, SEP 2006, LOS ALAMITOS, IEEE COMPUTER SOCIETY PRESS

pp.391-394, 2006

Times Cited: 1 (1B)


  1. A Varde, E Rundensteiner, G Javidi, E Sheybani, J …

Learning the Relative Importance of Features in Image Data

Data Engineering Workshop, 2007 IEEE 23rd International …, pp. 237-244, 2007 - ieeexplore.ieee.org



CITATION:

METHODS OF DIMENSIONALITY REDUCTION IN STATISTICAL


PATTERN RECOGNITION

PUDIL P., NOVOVICOVA J., FERRI F.J.


PROCEEDINGS OF THE IEE EUROPEAN WORKSHOP CMP‘94


PRAGUE, CZECH REPUBLIC, 1994

185-189, 1994




Times Cited: 1 (1B)


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Title: Feature Set Reduction for Document Classification Problems

Source: Proceedings of IJCAI-01 Workshop on Text Learning: Beyond Supervision, Seattle Washington, August 6th, 2001


CITATION:

RECENT FEATURE SELECTION METHODS IN STATISTICAL PATTERN RECOGNITION


PUDIL P., NOVOVICOVA J., SOMOL P.

In: PATTERN RECOGNITION and STRING MATCHING



Kluwer Academic Publishers, Boston

D.Chen and X.Cheng Eds. 2003


Times Cited: 1 (1B)


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Konkurenční schopnost podniků, ISBN 978-80-210-4456-2, Brno 2007

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PERFORMANCE PARAMETERS DEFINITION AND PROCESSING

SVITEK M., NOVOVICOVA J.

 NEURAL NETWORK WORLD

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Times Cited: 1 (1A)


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Vigilance and hypnagogium determination of drivers by EEG analysis 

Neural Network World 18 (2), pp. 89-104, 2008




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A STATISTICAL APPROACH TO PATTERN RECOGNITION: THEORY AND PRACTICAL

SOLUTION BY MEANS OF PREDITAS SYSTEM


PUDIL P., NOVOVICOVA J., BLAHA S.

KYBERNETIKA

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AUTOMATICA

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ON L-ESTIMATORS VIEWED AS M-ESTIMATORS

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On recursive calculation of M- and gm-estimates by direct identification in LQG control systems 

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MODIFICATION OF S, H AND W ALGORITHMS FOR RECURSIVE COMPUTATION OF GM …

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