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Lip-reading technology was introduced in this paper, including the development course, technical methods and application direction. Lip-reading technology mainly includes the lip detection and localization, feature extraction and recognition method and fusion method, the classification of the mouth and the corpus. This paper do a detailed comparative analysis for traditional methods and new technology,...
In this paper, we propose an approach for text-independent speaker verification system usage both cepstral and prosodic features. We combine MFCC features and pitch contour features to capture the characteristics in speaker verification. We are using cubic polynomials to estimate the pitch contour segments in order to model the differences on intonation contour, and using the support vector machine...
Hydrological features are always important information for water resources computing. 3D (three-dimensional) GIS (Geographic Information System) technique provides a feature extracting and 3D scene displaying platform for management and decision. In our case study, contrasting and analyzing current three system development patterns, we have presented the 3D development tool and system architecture...
In this study,we have developed a three-dimensional (3D) optical flow program that includes a multi-resolution feature and applied to 3D anatomic structure and gross tumor volume (GTV) contour mapping for four-dimensional computed tomography((4D CT) data. Actual 4D CT data sets from one lung cancer patient and one esophageal tumor patient,10 phases were reconstructed per respiratory cycle respectively...
Recently, as the fast development of the computer network communication technology, itpsilas more and more convenient for the digital information storage and transmission. Therefore, more and more attention is focused on the copyright protection of digital information. An algorithm that gray image as watermark is embedded in original color-image is introduced. This algorithm thinks over both unobtrusiveness...
This paper describes a detection framework to find a specific person from different videos by combining movement information with color invariant features. Special color invariant moment features based on color clustering are presented. Similarity measure method based on the color invariant moment descriptors is given. This method is applied in a practical application system and the experimental result...
In this paper a vehicle detection algorithm is presented based on the combination of edge feature and random walk techniques. We used background subtraction and edge detection to obtain the moving area, then used morphological operations for vehicle skeleton extraction and get the seed for random walk. Our algorithm has three phases, detection of areas on moving objects, extraction of skeleton points...
Research on turbo-generator fault prediction is one of theory bases for its fault self-recovery, however, the lack of fault samples and the incompletion of fault information make it full difficulties. This paper presents an efficient method for turbo-generator vibration fault prediction in which the new model of gray forecasting with first-order fitting parameter is established. On the basis of the...
The precise segmentation of magnetic resonance images (MRI) is an important subject in both medical and computer science communities. The intrinsic complexity of the images and their relative lack of systematics have brought to develop different approaches to segment the different parts of human head. This paper investigates a novel feature extraction approach to MRI segmentation based on feed-back...
Gait recognition has recently gained significant attention from researchers, especially computer vision researchers. Compared with other biometrics, gait has its unique advantages. Other biometrics technologies, such as face recognition, hand recognition, fingerprint recognition, can't work effectively when the person is far away. A simple and efficient gait recognition approach based on multi-resolution...
LLE based human gait recognition method is proposed. LLE representation is based on the similarity of images and is inherent translation, rotation and scale invariant, so LLE representation of gait sequences can be viewed as a kind of dynamic features of gait. 1D LLE representation based gait cycle detection method gives complete gait cycle and is invariant to visual angle, therefore it is better...
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