منابع مشابه
Detection and Extraction of Road Traffic Signs
The real-time road traffic sign recognition focused on the application of computer vision techniques in automatic detection and classification of video images of traffic signs placed on roadways acquired from moving vehicles. In this work, we present results of an attempt to locating traffic signs placed on local roadways based on image processing techniques. The developed algorithm is based on...
متن کاملDetection and Recognition of Alert Traffic Signs
Traffic signs provide drivers important information for safety and efficient navigation. Automatic detection and recognition of traffic signs inevitably become more popular. In this paper, an efficient algorithm/platform is presented to achieve automatic alert traffic signs detection and recognition. Histogram of Gradient (HOG) is adapted to extract features and an over-complete set of 1680 fea...
متن کاملDetection and Recognition of Road Traffic Signs - A Survey
This paper presents a survey on the detection and recognition of traffic signs which has a number of important application areas that include advanced driver assistance systems, road surveying and autonomous vehicles. This has been thoroughly studied for a long time. But still it remains a challenging problem in computer vision due to the different types and the huge variability of informations...
متن کاملDetection of Traffic Signs Using Posterior Classifier Combination
Mobile mapping of environment information from a moving platform plays an important role in the automatic acquisition of GIS (Geographic Information Systems). The extraction of railway infrastructure from video frames captured on a driving train requires a robust visual object detection system that provides both high localization accuracy and the capability to cope with uncertain information. T...
متن کاملVideo-based Detection and Classification of US Traffic Signs and Mile Markers using Color Candidate Extraction and Feature-based Recognition
Traffic sign and mile-marker detection and classification are among the important components of highway asset management systems. The significant number of these high-quantity and low-cost assets in US highways can negatively impact on quality of any manual data collection and analysis. To address these challenges, this paper presents an efficient pipeline for video-based detection and classifi...
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ژورنال
عنوان ژورنال: IEEE Transactions on Intelligent Transportation Systems
سال: 2015
ISSN: 1524-9050,1558-0016
DOI: 10.1109/tits.2015.2433019