MIMO Lyapunov Theory-Based RBF Neural Classifier for Traffic Sign Recognition
نویسندگان
چکیده
منابع مشابه
MIMO Lyapunov Theory-Based RBF Neural Classifier for Traffic Sign Recognition
Lyapunov theory-based radial basis function neural network (RBFNN) is developed for traffic sign recognition in this paper to perform multiple inputs multiple outputs (MIMO) classification. Multidimensional input is inserted into RBF nodes and these nodes are linked with multiple weights. An iterative weight adaptation scheme is hence designed with regards to the Lyapunov stability theory to ob...
متن کاملA Lyapunov Theory-Based Neural Network Approach for Face Recognition
This chapter presents a new face recognition system comprising of feature extraction and the Lyapunov theory-based neural network. It first gives the definition of face recognition which can be broadly divided into (i) feature-based approaches, and (ii) holistic approaches. A general review of both approaches will be given in the chapter. Face features extraction techniques including Principal ...
متن کاملA Real Time Traffic Sign Detection and Recognition Algorithm based on Super Fuzzy Set
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...
متن کاملTraffic Sign Recognition-based Vehicle Speed Regulation
This paper purposed a Traffic Sign Recognition (TSR) system which can automatically detect and classified the traffic signs in traffic scene images acquired from a moving car. First it uses color based segmentation and then further refines the segments using two shape detection based techniques. A color description technique is used to extract the sign information from the segmented part which ...
متن کاملMobile Traffic Sign Recognition
Traffic sign recognition through artificial intelligence tools is an attractive topic in the computer vision community for its clear applications in the automotive industry. This problem is a subset of the larger problem of improving safe driving through intelligent technologies that can recognize objects on the road and help drivers avoid hazardous situations. In this work we evaluated a numbe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Computational Intelligence and Soft Computing
سال: 2012
ISSN: 1687-9724,1687-9732
DOI: 10.1155/2012/793176