Automatic and Invariant Recognition of Traffic Sign with Color-HMAX and Deep ELM Based Classifier
نویسندگان
چکیده
منابع مشابه
Application of BW-ELM model on traffic sign recognition
Traffic sign recognition is an important and active research topic of intelligent transport system. With a constant increasing of the training database size, not only the recognition accuracy, but also the computation complexity should be considered in designing a feasible recognition approach. In this paper, an effective and efficient algorithm based on a relatively new artificial neural netwo...
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Advanced Driver Assistance Systems (ADAS) benefit from current infrastructure to discern environmental information. Traffic signs are global guidelines which inform drivers from near characteristics of paths ahead. Traffic Sign Recognition (TSR) system is an ADAS that recognize traffic signs in images captured from road and show information as an adviser or transmit them to other ADASs. In this...
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Traffic sign recognition is an important but challenging task, especially for automated driving and driver assistance. Its accuracy depends on two aspects: feature extractor and classifier. Current popular algorithms mainly use convolutional neural networks (CNN) to execute both feature extraction and classification. Such methods could achieve impressive results but usually on the basis of an e...
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TSR (Traffic sign recognition) has been studied for realizing drivers assisting system and automated navigation and is an important studied field in ITS (Intelligent traffic system). In this paper, a recognition method of traffic signs separated from real image was studied. Images were divided into several categories according to the actual weather, distance and angle of view etc. SIFT was firs...
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The use of Computer Vision techniques for the automatic recognition of road signs is fundamental for the development of intelligent vehicles and advanced driver assistance systems. In this paper, we describe a procedure based on color segmentation, Histogram of Oriented Gradients (HOG), and Convolutional Neural Networks (CNN) for detecting and classifying road signs. Detection is speeded up by ...
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ژورنال
عنوان ژورنال: International Journal of Multimedia and Ubiquitous Engineering
سال: 2017
ISSN: 1975-0080,1975-0080
DOI: 10.14257/ijmue.2017.12.3.04