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Traditional signal processing methods cannot detect interspersed repeats and generally cannot handle nonstationary signals. In this paper, we propose a new method for periodicity detection in protein sequences to locate interspersed repeats. We first apply the autoregressive model with a sliding window to find possible repeating subsequences within a protein sequence. Then, we utilize an iterative...
Shannon entropy is effective uncertainty measurement criterion for stochastic system. In this paper, adaptive fusion particle filter is proposed for visual tracking by introduced Shannon entropy in particle filter framework. Firstly, the particle filter, which is considered as the process of particles assimilating negative entropy to reduce uncertainty, is surveyed from viewpoint of information theory...
Feature extraction and analysis are the foundation of audio classification. At first, audio features are analyzed deeply, including short-time energy, zero-crossing rate, bandwidth, low short-time energy ratio, high zero-crossing rate ratio, and noise rate. Secondly a new audio classification method for news video is proposed based on the decision tree method, and then divides audio information into...
This paper presents a novel method for highlight extraction in sports video, which fuses multi-modal features including audio and visual. At first, we detect slow-motion replay based on logo, and then detect audience cheers based on pitch frequency and short-time energy. In the next step, we fuse audio-visual features to detect highlight events through using a special "and" (otimes) operation...
Texts presented in video can provide important semantic information. In this paper, we propose an algorithm to detect texts from news videos. First, SPAC (spatial autocorrelation method) is used to determine the degree of texture rough-detail of video frames and determine candidate text regions based on texture rough-detail. Then Sobel operator is used to extract edges of candidate text regions, and...
Face recognition is one of the most hot and challengeable technologies, which is based on biometrics, and also one of the most potential technologies. As the most natural and friendly identification method, automatic face recognition has become the important part of the next generation computing technology. 3D face recognition methods are able to overcome the problems resulting from illumination,...
This paper presents a 5 DOF wearable rehabilitation robot which can implement single joint and multi- joint multiple motions for hemiplegic patients. The method of driving rehabilitation robot to assistant patients' impaired limb carry out rehabilitation exercises by healthy one of their own is present because hemiplegic patients' upper limb is usually unilaterally impaired. sEMG (surface electromyogram)...
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