Traffic sign detection and classification for driver assistant system

Lecture Notes in Electrical Engineering

Volumn 291 LNEE, Issue , 2014, Pages 277-284

  Ali, Nursabillilah Mohd ^a   Sobran, Nur Maisarah Mohd ^a   Ghazaly, M M ^a   Shukor, S A ^a   Ibrahim, A F Tuani ^a  

^a UNIVERSITI TEKNIKAL MALAYSIA MELAKA   (Malaysia)

Author keywords

Classification of occlusion images; Color detection; Illumination invariant

Indexed keywords

AUTOMOBILE DRIVERS; NEURAL NETWORKS; ROBOTICS; SIGNAL PROCESSING;

COLOR DETECTION; DRIVER ASSISTANT SYSTEMS; FALSE POSITIVE; ILLUMINATION INVARIANT; MALAYSIANS; OCCLUSION IMAGE; TRAFFIC SIGN DETECTION; URBAN AND SUBURBAN AREAS;

TRAFFIC SIGNS;

EID: 84900470537     PISSN: 18761100     EISSN: 18761119     Source Type: Book Series    
DOI: 10.1007/978-981-4585-42-2_32     Document Type: Conference Paper

References (5)

1. Nguwi YY, Kouzani AZ (2006) A study on automatic recognition of road signs. In: 2006 IEEE conference on cybernetics and intelligent systems, pp 1-6
2. Lim KH, Seng KP, Ang LM (2010) Intra color-shape classification for traffic sign recognition. In: International computer symposium (ICS) 2010, pp 642-647
3. Hua H, Chao C, Yulan J, Shinning T (2008) Automatic detection and recognition of circular road sign. In: IEEE/ASME international conference on mechatronics and embedded systems and applications (MESA) 2008, pp 626-630
4. Pazhoumand-Dar H, Yaghobi M (2010) DTBSVMs: a new approach for road sign recognition. In: Proceedings of the 2nd international conference on computational intelligence, communication systems and networks (CICSyN) 2010, pp 314-319
5. Vitabile S, Pollaccia G, Pilato G, Sorbello F (2001) Road signs recognition using a dynamic pixel aggregation technique in the HSV color space. In: Proceedings of the 11th international conference on image analysis and processing, pp 572-577