DocumentCode
3081678
Title
A collection of benchmark images for traffic sign research
Author
Gao, Xiaohong W.
Author_Institution
Sch. of Eng. & Inf. Sci., Middlesex Univ., London, UK
fYear
2011
fDate
6-8 July 2011
Firstpage
1
Lastpage
6
Abstract
This paper details a collection of traffic signs that has been made available online to meet the current need of lack of standard datasets for evaluation and comparison of existing and future developed recognition systems of traffic signs, leading to the exploration of the breath of innovations and applications in the field. Examples on how to apply these data are also described with comparisons between a number of approaches on segmentations. This collection aims at improving the accuracy of sign recognition systems and expediting the processing speed. Within this remit, the images in the collection opt for 2D still pictures and are taken under controlled viewing conditions on London roads at the UK. The standard sign database employs British road signs (143 images), which are available at http://www.mitime.org/traffic_signs/, together with the collection (128 images) in this study.
Keywords
image recognition; image segmentation; traffic engineering computing; visual databases; 2D still pictures; British road signs; London roads; UK; benchmark image collection; future developed recognition systems; image segmentations; standard datasets; standard sign database; traffic sign research; traffic signs; Cameras; Databases; Image color analysis; Image recognition; Image segmentation; Meteorology; Roads; CIECAM; benchmark datasets; recognition; segmentation; traffic signs;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing (DSP), 2011 17th International Conference on
Conference_Location
Corfu
ISSN
Pending
Print_ISBN
978-1-4577-0273-0
Type
conf
DOI
10.1109/ICDSP.2011.6004883
Filename
6004883
Link To Document