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Real time traffic sign detection and recognition

Yıl 2016, Cilt: 58 Sayı: 2, 70 - 83, 01.10.2016

Betül Arslan Turgut Büyükkaya Hakkı Alparslan Ilgın

https://doi.org/10.1501/commua1-2_0000000097

Öz

REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION

Yıl 2016, Cilt: 58 Sayı: 2, 70 - 83, 01.10.2016

Betül Arslan Turgut Büyükkaya Hakkı Alparslan Ilgın

https://doi.org/10.1501/commua1-2_0000000097

Öz

Image processing applications can provide a safer and less exhausting driving experience for drivers. In this paper, a real time traffic sign identification based on color thresholding, regional color density and recognition via principle component analysis algorithm is implemented. Also problems which may cause traffic signs not to be recognized are studied and necessary improvements are made.

Anahtar Kelimeler

Traffic Sign Detection Traffic Sign Recognition Color Space Eigenfaces

Toplam 0 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Article
Yazarlar

Betül Arslan Bu kişi benim

Turgut Büyükkaya Bu kişi benim

Hakkı Alparslan Ilgın Bu kişi benim

Yayımlanma Tarihi 1 Ekim 2016
Gönderilme Tarihi 12 Mayıs 2014
Yayımlandığı Sayı Yıl 2016 Cilt: 58 Sayı: 2

Kaynak Göster

APA Arslan, B., Büyükkaya, T., & Alparslan Ilgın, H. (2016). REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, 58(2), 70-83. https://doi.org/10.1501/commua1-2_0000000097
AMA Arslan B, Büyükkaya T, Alparslan Ilgın H. REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. Ekim 2016;58(2):70-83. doi:10.1501/commua1-2_0000000097
Chicago Arslan, Betül, Turgut Büyükkaya, ve Hakkı Alparslan Ilgın. “REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 58, sy. 2 (Ekim 2016): 70-83. https://doi.org/10.1501/commua1-2_0000000097.
EndNote Arslan B, Büyükkaya T, Alparslan Ilgın H (01 Ekim 2016) REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 58 2 70–83.
IEEE B. Arslan, T. Büyükkaya, ve H. Alparslan Ilgın, “REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION”, Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng., c. 58, sy. 2, ss. 70–83, 2016, doi: 10.1501/commua1-2_0000000097.
ISNAD Arslan, Betül vd. “REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 58/2 (Ekim 2016), 70-83. https://doi.org/10.1501/commua1-2_0000000097.
JAMA Arslan B, Büyükkaya T, Alparslan Ilgın H. REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2016;58:70–83.
MLA Arslan, Betül vd. “REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, c. 58, sy. 2, 2016, ss. 70-83, doi:10.1501/commua1-2_0000000097.
Vancouver Arslan B, Büyükkaya T, Alparslan Ilgın H. REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2016;58(2):70-83.

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering

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