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Segmentation of text on traffic panels has shown great importance. Detection and recognition of traffic panels text is still a challenge in computer vision due to its different types and hug asymmetric information. This paper proposed a method to detect roadside traffic panels and extract the information on them. In the first stage, blue, white and green color segmentation and structure classification...
Rapid optimization and recognition problem solving is needed in a future IoT society. Two novel Ising models suitable for hardware implementation for Ising machines are proposed. The Ising model is expected to solve optimization and recognition problems extremely fast by mapping the parameters of the problem onto spins and interactions, and searching for the ground state. This method is different...
In this paper, we present an approach to recognize 3D objects. The method is based on the heat equation by calculating the geodesic distance between any pair of points x, y on Riemannian manifold. The method is compared to the light field descriptor (LFD) and the salient views (SV) by using three classifier such as C4.5 decision tree and Random Forest. The proposed method is a set of classifier that...
During unmanned underwater vehicle (UUV) recovery process, the vision sensor needs to extract and recognize all light sources from guided images. Firstly, Aiming at restoring underwater image without exact depth map, a segmented-linear-mapping approach based on scattering model is put forward. Restoring results indicate that the approach is capable of highlighting subtle details and improving image...
The purpose of the article is to investigate the problem of recognition of plant objects using research methods of graph theory and analytic geometry. The process of plant object recognition may be based on the analysis of their general structure. In this paper, we propose an approach based on the construction of models of plant object structure in the form of graphs. It is proposed to consider the...
Dynamic Movement Primitives (DMPs)-originally a method for movement trajectory generation [1] has been also used for recognition tasks [2, 3]. However there has not been a systematic comparison between other recognition methods and DMPs using human movement data. This paper presents a comparison of commonly used Hidden Markov Model (HMM) based recognition with DMP based recognition using human generated...
This paper presents a Ring Projection Transforms (RPT) for recognizing an object in automation system. Based on the Coarse-fine strategy and Compute Unified Device Architecture (CUDA), we developed a recognition model on GPGPU (General-Purpose computing on Graphics Processing Units) scheme. As experimental validation indicates, our scheme achieved a better performance in terms of processing time compared...
The selection of the proper feature extraction method is an essential issue for any Automatic Speech Recognition system. This has been conducted in order to choose the suitable feature extraction method for Arabic phoneme recognition system based Malay speakers. In this paper, the implementation of three feature extraction methods involves Frequency Cepstral Coefficients (MFCC), Linear Predictive...
Tracking of any object from a video scene becomes more critical not only for security applications but also for analyzing traffic. This system integrates low level image processing as well as high level image processing through online data model and offline data model for more efficiency and robustness. Also this makes the system to handle occlusion conditions and abrupt color intensity variation...
Human skin color has been studied as biometric indicator, most of previous researches studies focused in using skin color to detect the face, human and human motion. The objective of this article is to evaluate the variation in human skin color as a unique code for identification purpose. Fifty picture of the nose were captured using a mobile camera with a resolution of 3 mega pixel. Part of the nose...
The accuracy estimation of detection of extrasystoles in heart rate sequences is investigated. Decision making is based on detection of short-term specific random elements in non-stationary random sequences recognition theory application and mathematical modelling. The decision opens a possibility to develop wearable, green - energy saving equipment for long-term heart rate variability monitoring...
Due to interferences and some other reasons, the GNSS(global navigation satellite system) module in AIS would provide fault information, it is difficult to distinguish whether is the vessels are stopping or low-speed sailing without the help of Kalman filter algorithm. This paper has proposed a method to handle the error in GNSS information in AIS messages, which turns out to be effective in the experiment.
The research on noisy Tibetan speech recognition algorithm based on wavelet neural network (WNN) combined with auditory feature was carried out in this paper. The recognition classifier based on WNN was designed, and Mel Frequency Cepstrum Constant (MFCC) feature was given. Then the simulation on the given algorithm was run under the different signal to noise ratios (SNR), and the results illustrated...
In order to improve the level of automation for pulse signal processing and recognition, firstly, it used the fast Fourier transform with radix-2FFT algorithm to extract the characteristic parameters of pulse in frequency domain. Secondly, it made the dyadic discrete wavelet transform in four scales with MALLAT algorithm and calculated the detail energy values of four scales to constitute together...
Although mobile robots are increasingly being used in real-world applications, the ability to robustly sense and interact with the environment is still missing. A key requirement for the widespread deployment of mobile robots is the ability to operate autonomously by learning desired environmental models and revising the learned models in response to environmental changes. This paper presents an approach...
We present in this paper a technique for designing reference labels that can be used for optical navigation. We optimize the selection of foreground and background colors used for the printed reference labels. This optimization calibrates for individual color responses among printers and cameras such that the Signal to Noise Ratio (SNR) is maximized. Experiments show that we get slightly smaller SNR...
This paper presents an automatic speed sign detection and recognition for providing the visual driving-assistance of speed limits awareness. To reduce the influence of digital noise caused by lighting condition and pollution, a segmentation based on pan-red color information is applied to extract the shape of speed sign. Based on the edge-phase information of a circle shape, a novel edge-voting principle...
It is of great significance how to identify car licence rapidly and accurately in the modern urban traffic management system. Hopfield NN is a feedback network with association function. It can figure out the weight of network according to some rules and update every nerve cell's state constantly in curse of the network evolvement. This paper presents a method identifying noise of vehicle license...
This paper proposes a new algorithm for signal emitter recognition. It can recognize different emitters using the results of the TDOA/AOA joint location algorithm. Simulation results show that the accurate recognition rate of TDOA/AOA joint location algorithm is higher than that of either the TDOA or AOA location algorithm. If the distance between different signal emitters is more than 800 meters,...
People usually consider recognition and retrieval as two cascaded independent modules for spoken term detection. Retrieval techniques were assumed to be applied on top of some ASR output, with performance depending on ASR accuracy. In this paper, we propose a new framework: to integrate the two parts into a single task. This can be achieved by adjusting the acoustic model parameters, borrowing the...
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