Exploiting automatically generated databases of traffic signs and road markings for contextual co-occurrence analysis-Reference-Cited by-同舟云学术

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Exploiting automatically generated databases of traffic signs and road markings for contextual co-occurrence analysis

Published:2015-11-18 Issue:6 Volume:24 Page:061203
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:en
Short-container-title:J. Electron. Imaging

Author:

Hazelhoff Lykele¹,Creusen Ivo M.¹,Woudsma Thomas¹,de With Peter H. N.¹

Affiliation:

1. Cyclomedia Technology B.V., Van Voordenpark 1b, 5301KP Zaltbommel, The NetherlandsbEindhoven University of Technology, Den Dolech 2, 5600MB Eindhoven, The Netherlands

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference41 articles.

1. Crosswalk and traffic light detection via integral framework;Choi,2013

2. Large scale sign detection using hog feature variants;Overett,2011

3. Addressing false alarms and localization inaccuracy in traffic sign detection and recognition;Bonaci,2011

4. Road-Sign Detection and Recognition Based on Support Vector Machines

5. A tracking system for automated inventory of road signs;Lafuente-Arroyo,2007

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Image semantic segmentation with finer edges and complete parts from bounding box annotations;Journal of Electronic Imaging;2019-03-12

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