TRAFFIC SIGN RECOGNATION WITH VIDEO PROCESSING TECHNIQUE

Cilt: 2 Sayı: 2 1 Aralık 2012
International Journal of Electronics Mechanical and Mechatronics Engineering Kapak
International Journal of Electronics Mechanical and Mechatronics Engineering
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TRAFFIC SIGN RECOGNATION WITH VIDEO PROCESSING TECHNIQUE

Öz

In this study, traffic signs are aimed to be recognized and identified from a video image which is taken through a video camera. To accomplish our aim, a traffic sign recognition program has been developed in MATLAB/Simulink environment. The target traffic sign are recognized in the video image with the developed program

Anahtar Kelimeler

Kaynakça

  1. umler/goruntuisleme(03/02/2010) [2]
  2. goruntu-isleme.html(03/02/2010) [3]
  3. Sign Recognition”, Term Paper, Computer
  4. Perceptionwith Artificial Intelligence,
  5. University of Applied Sciences, Biel, Switzerland
  6. P., Campani, M., 1996. “Robust Method for Road SignDetection and Recognition”, Image and Vision Computing 14, pp.208-223
  7. Nitzberg,M., 1998. “Using Color to Detect, Localize and Identify Informational Signs”, Proc. International Conference on Computer Vision ICCV98, Bombay,India, pp. 628-633.
  8. Salichs, M.A., and Amingol, J.M., 1997. "Road

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

-

Yazarlar

Musa Aydın Bu kişi benim

Esra Calık Bu kişi benim

Yayımlanma Tarihi

1 Aralık 2012

Gönderilme Tarihi

1 Aralık 2012

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2012 Cilt: 2 Sayı: 2

IZ

https://izlik.org/JA97UT89TD

Kaynak Göster

RIS / Bibtex
APA
Aydın, M., Calık, E., & Istanbullu, M. (2012). TRAFFIC SIGN RECOGNATION WITH VIDEO PROCESSING TECHNIQUE. International Journal of Electronics Mechanical and Mechatronics Engineering, 2(2), 190-194. https://izlik.org/JA97UT89TD
AMA
1.Aydın M, Calık E, Istanbullu M. TRAFFIC SIGN RECOGNATION WITH VIDEO PROCESSING TECHNIQUE. IJEMME. 2012;2(2):190-194. https://izlik.org/JA97UT89TD
Chicago
Aydın, Musa, Esra Calık, ve Mustafa Istanbullu. 2012. “TRAFFIC SIGN RECOGNATION WITH VIDEO PROCESSING TECHNIQUE”. International Journal of Electronics Mechanical and Mechatronics Engineering 2 (2): 190-94. https://izlik.org/JA97UT89TD.
EndNote
Aydın M, Calık E, Istanbullu M (01 Aralık 2012) TRAFFIC SIGN RECOGNATION WITH VIDEO PROCESSING TECHNIQUE. International Journal of Electronics Mechanical and Mechatronics Engineering 2 2 190–194.
IEEE
[1]M. Aydın, E. Calık, ve M. Istanbullu, “TRAFFIC SIGN RECOGNATION WITH VIDEO PROCESSING TECHNIQUE”, IJEMME, c. 2, sy 2, ss. 190–194, Ara. 2012, [çevrimiçi]. Erişim adresi: https://izlik.org/JA97UT89TD
ISNAD
Aydın, Musa - Calık, Esra - Istanbullu, Mustafa. “TRAFFIC SIGN RECOGNATION WITH VIDEO PROCESSING TECHNIQUE”. International Journal of Electronics Mechanical and Mechatronics Engineering 2/2 (01 Aralık 2012): 190-194. https://izlik.org/JA97UT89TD.
JAMA
1.Aydın M, Calık E, Istanbullu M. TRAFFIC SIGN RECOGNATION WITH VIDEO PROCESSING TECHNIQUE. IJEMME. 2012;2:190–194.
MLA
Aydın, Musa, vd. “TRAFFIC SIGN RECOGNATION WITH VIDEO PROCESSING TECHNIQUE”. International Journal of Electronics Mechanical and Mechatronics Engineering, c. 2, sy 2, Aralık 2012, ss. 190-4, https://izlik.org/JA97UT89TD.
Vancouver
1.Musa Aydın, Esra Calık, Mustafa Istanbullu. TRAFFIC SIGN RECOGNATION WITH VIDEO PROCESSING TECHNIQUE. IJEMME [Internet]. 01 Aralık 2012;2(2):190-4. Erişim adresi: https://izlik.org/JA97UT89TD