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Coin recognition is one of the prime important activities for modern banking and currency processing systems in which machine vision is widely used. The technique at the heart of such systems is object recognition in a digital image. Although it has high recognition speed, the traditional method of coin recognition can not recognize the coins with similar sizes. This paper presents a method based...
Urban function zoning is of great importance for urban structure optimization, urban resource allocation, and urban development planning. Since citizens usually act as a network of motion sensors of the city, their activities could reflect the environment around them. We considered taking advantage of VGI data to classify urban function zones. In this paper, we proposed a framework for automated urban...
With the wide application of batteries, the battery state of health (SOH) is increasingly concerned by people. The battery SOH reflects its ability to store charge and plays a key role in electric power systems. This paper proposes an adaptive neural fuzzy inference system (ANFIS) based method to estimate the battery SOH. The main steps of the proposed method include model creating, model training...
To overcome the deficiencies of the existing methods used in the estimation of the crowd flow with high-density and multi-motion direction, a crowd flow estimation method based on dynamic texture and generalized regression neural network (GRNN) is presented in this paper. The method firstly extracts the dynamic texture features through optical flow, performs the moving crowd segmentation by the dynamic...
A new framework of image encryption via voice feature is proposed. Voice data is preprocessed and the MFCC coefficients are firstly calculated on each sub-frame; an iterated vector quantization is then applied on the MFCC data to obtain the key to image encryption and decryption. Image encryption and decryption is done in the frequency domain with a simple XOR operation. Due to the uniqueness and...
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