Identification of degraded traffic sign symbols by a generative learning method

Hong Kong August 20-August 24

DOI Bookmark:

http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.674

18th International Conference on Patt ...

	This Article
	PURCHASE ARTICLE: $19 PDF HTML IEEE Xplore Subscribers
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Hiroyuki Ishida Articles by Tomokazu Takahashi Articles by Ichiro Ide Articles by Yoshito Mekada Articles by Hiroshi Murase

	ASCII Text	x
	Hiroyuki Ishida, Tomokazu Takahashi, Ichiro Ide, Yoshito Mekada, Hiroshi Murase, "Identification of degraded traffic sign symbols by a generative learning method," Pattern Recognition, International Conference on, vol. 1, pp. 531-534, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006.

	BibTex	x
	@article{ 10.1109/ICPR.2006.674, author = {Hiroyuki Ishida and Tomokazu Takahashi and Ichiro Ide and Yoshito Mekada and Hiroshi Murase}, title = {Identification of degraded traffic sign symbols by a generative learning method}, journal ={Pattern Recognition, International Conference on}, volume = {1}, year = {2006}, issn = {1051-4651}, pages = {531-534}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.674}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Identification of degraded traffic sign symbols by a generative learning method SN - 1051-4651 SP531 EP534 A1 - Hiroyuki Ishida, A1 - Tomokazu Takahashi, A1 - Ichiro Ide, A1 - Yoshito Mekada, A1 - Hiroshi Murase, PY - 2006 KW - null VL - 1 JA - Pattern Recognition, International Conference on ER -

Hiroyuki Ishida, Nagoya University

Tomokazu Takahashi, Nagoya University

Ichiro Ide, Nagoya University

Yoshito Mekada, Nagoya University

Hiroshi Murase, Nagoya University

We present a novel training method for recognizing traffic sign symbols undergoing image degradations. In order to cope with the degradations, it is desirable to use similarly degraded images as training data. Our method artificially generates these data from an original image in accordance with the actual degradations. We experimentally confirmed the usefulness of our method for the camera-based traffic sign recognition.

Citation:

Hiroyuki Ishida, Tomokazu Takahashi, Ichiro Ide, Yoshito Mekada, Hiroshi Murase, "Identification of degraded traffic sign symbols by a generative learning method," icpr, vol. 1, pp.531-534, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.