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Mixel decomposition of remote sensing images is one of valid assistance means for improving quality of feature extraction from the images. Some problems exist in normal linear mixels decomposition, for example, registration error is too large, and neighbourhood information can be took full advantage of and so on. These result in that distortion of new images generated after linear mixels decomposition...
This paper describes a machine vision system with back lighting illumination and friendly man-machine interface. Subtraction is used to segment target holes quickly and accurately. The oval obtained after tracing boundary is processed by Generalized Hough Transform to acquire the target's center. Marked-hole's area, perimeter and moment invariants are extracted as cluster features. The auto-scoring...
Human is often the most important role in surveillance scenes. How to detect intact human and judge their pose correctly is discussed. Moving human is firstly extracted by background subtraction method in HSV colorspace. In order to alleviate disturbances from different human's motion poses, the upper half of human is projected to the horizon axis. Utilizing the upper projection histogram, the major...
With the rapid increasing popularity of web video, video copy detection (VCD) has become a hot research field in content-based video retrieval. Many efforts have been carried out to improve the effectiveness and efficiency of copy detection. In order to solve two challenging problems: video feature extraction and fast search in large database, a novel efficient video copy detection approach was proposed...
Spatial plantar pressure measurement system were investigated to extract features of gait in clinical podiatry. In this paper, the design of a novel 3D platform system suitable for the measurement of human foot pressure distribution is proposed. This consists of a 3D force measuring platform equipped with sensor array, and user-friendly software to graph and analyze the data. Also, a proposed Butterworth...
A novel classifier is proposed for fault diagnosis of rotor system, with independent component analysis (ICA) based feature extraction and multi-layer perceptron (MLP) based pattern classification. By the use of ICA, feature vectors are integratedly extracted from multi-channel vibration measurements collected under different operating patterns (in term of rotating speed and/or load). Thus, a robust...
To distinguish chatter gestation, a new method of chatter gestation based on HMM-SVM method is proposed for dynamic patterns of chatter gestation in cutting process. At first, FFT features are extracted from the model signal of cutting process, then FFT vectors are introduced to HMM-SVM (hidden Markov model-support vector machine) for machine learning and classification. the vibration signal of cutting...
A method of tool wear intelligence measure based on discrete hidden Markov models (DHMM) is proposed to monitor tool wear and to predict tool failure. FFT features are first extracted from the vibration signal and cutting force in cutting process, and then FFT vectors are presorted and converted into integers by SOM. Finally, these codes are introduced to DHMM for machine learning and 3 models for...
This paper presents an approach to extract partial discharge (PD) in power transformer by complex wavelet. A method of optimal complex wavelet selection was used based on the similarity between the wavelet and PD signals. The selected complex wavelet can be used to extract features of PD signal from signals which with strong disturbance and noise. The simulation results show that the complex wavelet...
The brain evoked potentials (BEP) are related directly to series of diseases and physical states. It is helpful to prevent and diagnose the brain diseases by analyzing evoked potentials. The traditional averaged method can show the shape of evoked potentials in the rough but it is not clear and has many fake signals. Wavelet transformation is a rising technology in signal processing which has the...
A new method of roller bearings fault diagnosis based on least squares support vector machines (LS-SVM) was presented. Feature selection method based on simulated annealing (SA) algorithm was discussed in this paper. LS-SVM classifier was constructed for bearing faults. Compared with the Artificial Neural Network based method, the LS-SVM based method possessed desirable advantages. Experiment shows...
Detecting abnormal state of elder from sensor is very important for high-level activity inference of service robot. This paper proposes a model to solve this problem using location information. Firstly, the feature can be extracted from location information using the SLAM Map, and the vector based on l,thetas is calculated. Then approach of clustering the feature vector based on H-FCM algorithm. Experiment...
This paper describes a feature-based approach for face detection and recognition for human-robot interaction (HRI), which is capable of processing images rapidly and achieving high detection and recognition rates. The vision system on the mobile robot has to deal with difficult problems such as illumination changes, different facial expressions, and dynamic complex background. We apply an efficient...
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