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Real-time recognition of U.S. speed signs
2008
2008 IEEE Intelligent Vehicles Symposium
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In this paper a camera-based system for detection, tracking, and classification of U.S. speed signs is presented. ...
Classification results from tracked candidates are utilized to improve recognition accuracy. On a standard PC the system reached a detection speed of 27fps with an accuracy of 98.8%. ...
From an application perspective, the system needs to be adapted for the task of recognizing variable U.S speed limits and other rectangular shaped signs. ...
doi:10.1109/ivs.2008.4621282
fatcat:zsgai6p7ife3fjqwagqvrqbwi4
Traffic sign detection for U.S. roads: Remaining challenges and a case for tracking
2014
17th International IEEE Conference on Intelligent Transportation Systems (ITSC)
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For speed limit signs, the story is different. Detection rates a abysimally low. Clearly, the model is not able to capture what distinguished the speed limit signs from everything else. ...
We have tested it on video sequences of driving taken from the LISA Traffic Sign Dataset Extension. The sequences cover a total of 139 physical signs. ...
doi:10.1109/itsc.2014.6957882
dblp:conf/itsc/MogelmoseLT14
fatcat:j2qnru2zcbh5fbt26he74mdyae
A Study on Traditional and CNN Based Computer Vision Sensors for Detection and Recognition of Road Signs with Realization for ADAS
[chapter]
2021
Vision Sensors [Working Title]
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The aim of this chapter is to provide an overview of how road signs can be detected and recognized to aid the ADAS applications and thus enhance the safety employing digital image processing and neural ...
As per the data from the U.S. ...
Figure 35 shows the experimental results of the speed limit road signs detection and recognition method for detection and recognition of the rectangular speed limit road signs. ...
doi:10.5772/intechopen.99416
fatcat:heripuqk4jdd5ig5j5sw3kuavy
Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey
2012
IEEE transactions on intelligent transportation systems (Print)
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In this paper, we provide a survey of the traffic sign detection literature, detailing detection systems for traffic sign recognition (TSR) for driver assistance. ...
We separately describe the contributions of recent works to the various stages inherent in traffic sign detection: segmentation, feature extraction, and final sign detection. ...
Martin, and E. Ohn-Bar for their comments. ...
doi:10.1109/tits.2012.2209421
fatcat:qhln2evg45cjvafipsd4ug7zfe
A complete system to determine the speed limit by fusing a GIS and a camera
2011
2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)
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Circles are first detected in images with the Hough Transform method. The recognition step aims at separating real speed signs from the other circular shapes. ...
system to detect traffic signs, eventual supplementary signs and markings; • a decisional part which fuses the information from both sources and outputs the most likely speed limit. ...
doi:10.1109/itsc.2011.6082951
dblp:conf/itsc/PuthonNB11
fatcat:3bzpqtemandsxbpb2btg5j33xy
Detection of U.S. Traffic Signs
2015
IEEE transactions on intelligent transportation systems (Print)
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We go over the recent advances in traffic sign detection and discuss the differences in signs across the world. ...
Until now, the research in Traffic Sign Recognition systems has been centered on European traffic signs, but signs can look very different across different parts of the world, and a system which works ...
ACKNOWLEDGMENT The authors would like to thank their colleagues at the LISA lab for useful discussion and encouragement, especially Eshed Ohn-Bar for his valuable comments. ...
doi:10.1109/tits.2015.2433019
fatcat:5e37msoczfbp3c266iuuskmey4
Ongoing work on traffic lights: Detection and evaluation
2015
2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
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Research in traffic light recognition (TLR) has stagnated compared to related computer vision areas, such as pedestrian detection and and traffic sign recognition. ...
From surveying existing work it is clear that currently evaluation is limited primarily to small local datasets. ...
Unlike for sign recognition and pedestrian detection, no surveys of TLR research exist. ...
doi:10.1109/avss.2015.7301730
dblp:conf/avss/PhilipsenJTMM15
fatcat:4zufhmjmtfgzxf2kwxdbf72dgm
Visual Analysis in Traffic & Re-identification
[article]
2015
Ph.d.-serien for Det Teknisk-Naturvidenskabelige Fakultet, Aalborg Universitet
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Sujitha Martin, and Mr. Eshed Ohn-Bar for their comments. ...
Acknowledgment The authors would like to thank their colleagues at the LISA lab for useful discussion and encouragement, especially Eshed Ohn-Bar for his valuable comments. ...
Image source: [58] Examples of similar signs from the MUTCD. (a) Speed limit. Sign R2-1. (b) Minimum speed. Sign R2-4. (c) End speed limit. Sign R3 (CA), exists only in the California MUTCD. ...
doi:10.5278/vbn.phd.engsci.00026
fatcat:taivrerts5debi734ddeeaq244
Neural network-based traffic sign detection and recognition in HD images based on region focusing and parallelization
2020
IEEE Access
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Traffic signs of this type give information about speed limits, priorities, and prohibitions. ...
speed limits (type X in Fig. 1 ). ...
doi:10.1109/access.2020.3031191
fatcat:hh2yqy7eenesxd2wnjwzk7fef4
Note on Attacking Object Detectors with Adversarial Stickers
[article]
2018
arXiv
pre-print
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In this note, we briefly show both static and dynamic test results. ...
Deep learning has proven to be a powerful tool for computer vision and has seen widespread adoption for numerous tasks. ...
For example, a slight modification to some pixels in Stop sign image can cause a network to label it as a Speed Limit sign. ...
arXiv:1712.08062v2
fatcat:hrtmig425zb5ha73cibjyamkv4
Overview of Environment Perception for Intelligent Vehicles
2017
IEEE transactions on intelligent transportation systems (Print)
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A special attention is paid to methods for lane and road detection, traffic sign recognition, vehicle tracking, behavior analysis, and scene understanding. ...
Index Terms-Intelligent vehicles, environment perception and modeling, lane and road detection, traffic sign recognition, vehicle tracking and behavior analysis, scene understanding. ...
Warning
Red, White, Black Circle
China
Warning
Red, White, Black Circle
Europe
SPEED
LIMIT
Warning
Red, White, Black Circle
U.S. ...
doi:10.1109/tits.2017.2658662
fatcat:mvfmou6ydjafnjq3ddk5rqi5ia
Computer vision in roadway transportation systems: a survey
2013
Journal of Electronic Imaging (JEI)
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There are many interesting technical challenges including imaging under a variety of environmental and illumination conditions, data overload, recognition and tracking of objects at high speed, distributed ...
Video imaging scientists are providing intelligent sensing and processing technologies for a wide variety of applications and services. ...
Acknowledgments The authors thank Natesh Manikoth of the Federal Aviation Administration for his insights and many valuable conversations. ...
doi:10.1117/1.jei.22.4.041121
fatcat:chkul4gryvawrbxhaagxhkrita
Object fingerprints for content analysis with applications to street landmark localization
2008
Proceeding of the 16th ACM international conference on Multimedia - MM '08
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To evaluate, we have compiled a novel dataset which consists of 15 U.S. street landmarks' images and videos. ...
In particular, we focus on the problem of street landmark localization from images. ...
Another contribution of this work is a way to deal with object recognition and localization with very limited training data. We have focused on single landmark recognition from images. ...
doi:10.1145/1459359.1459383
dblp:conf/mm/WuY08
fatcat:ehwfmx6zpvgbza3d334ltnfxz4
Recognizing temporary changes on highways for reliable autonomous driving
2012
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Our approach filters out irrelevant image regions, localizes potential sign image regions using a learned color model, and recognizes signs through classification. ...
To handle potential recognition errors, our method utilizes the temporal redundancy of sign occurrences and their corresponding classification decisions. ...
To handle such potential sign recognition errors, we devise two algorithms that utilize the sequence of previous sign classifications. ...
doi:10.1109/icsmc.2012.6378255
dblp:conf/smc/SeoWZ12
fatcat:43oqyd2zobdufo6qdmucijgami
Visual surveillance in maritime port facilities
2008
Visual Information Processing XVII
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In this work we propose a method for securing port facilities which uses a set of video cameras to automatically detect various vessel classes moving within buffer zones and off-limit areas. ...
Our approach does not require foreground/background modeling in order to detect vessels, and therefore it is effective in the presence of the class of dynamic backgrounds, such as moving water, which are ...
Vessel detections are flagged as being potential intruders if no corresponding Figure 9 . A series of frames from a testing sequence. ...
doi:10.1117/12.777645
dblp:conf/spieVIP/SullivanS08
fatcat:vtx67xrp4betvbq2xeia2t6qaq
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