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Continuous positive airway pressure (CPAP) is a typical medical treatment for obstructive sleep apnea syndrome. Without using a small CPAP machine which are patented, we aim to design a new technique using microphone array for measuring respiratory sounds. Hence, it is necessary to obtain effective features of respiratory sounds such as, inspiration, expiration, and snoring in order to supply appropriate...
Principal Component Analysis (PCA) has been effectively applied for solving atmospheric-turbulence degraded images. PCA-based approaches improve the image quality by adding high-frequency components extracted using PCA to the blurred image. The PCA-based restoration process is similar with conventional single-frame Super-Resolution (SR) methods, which perform SR process by improving the edges portion...
Projection of computer graphics images on walls or architecture, known as projection mapping, has been used widely and applied in many fields. In projection mapping, the relative alignment between the projected images and the target is important because the efficiency of projection mapping may be reduced due to misregistration. However, the process of alignment is manual and time-consuming. To solve...
Principal Component Analysis (PCA) has been effectively applied for image restoration. Original idea underlying PCA approach has two different roots. One is from the fact that PCA is relevant to variance of pixel intensity by which the missing high frequency components in blurred image should be recovered. The other comes from the idea of source separation based on PCA. In the light of PCA approach...
This paper proposes a mean shift based method of blind source separation as well as source direction estimation through time-frequency (T-F) decomposition. The basic cue of T-F cell adopted here is the wave propagation vector and the method is applicable to arbitrary array configuration in 3-D space. In addition, it also applicable to wide extent array, thus the method cope with spatial aliasing problem...
The estimation of optical flow is an important problem in the dynamic image analysis. There are various methods of estimating the optical flow. The gradient method and matching method are based on the operation in the space-time domain. While spectral energy method is based on the frequency analysis and has robustness against noise. In this paper, we propose a hierarchical estimation of the optical...
This paper shows the method of extracting textured regions from an image using matching pursuit method. Textured region is made by iteration of the texture component that is called “texton”. and its dominant spectrum is in the medium frequency. Matching pursuit algorithm can model images with the 2D wavelets and describe the local properties of the image. The textured region is extracted as the regions...
We proposo a design method of optimal FIR filter which selectively extracts the particular moving object from other moving objects and noise. Stochastic approach is applied to the problem using the information of signals and the probability distribution of velocity vectors. In the method, the frequency response of the proposed Linear Trajectory Filter (LTF) specified by a priori information of the...
In this paper, we propose a two — dimensional (2-D) least-squares lattice (LSL) algorithm for the general case of the auto regress i ve (AR.) model with an asymmetric half-plane (AHP) coefficient support. The resulting LSL algorithm gives both order and space recursions for the 2-D deterministic normal equation. The size and shape of the coefficient support region of the proposed lattice filter can...
In this paper, we propose a tracking algorithm of speaker direction using microphones located at vertices of an equilateral triangle. The method realizes tracking by minimizing a performance index that consists of the cross spectra at three different microphone pairs in the triangular array. For guaranteeing global convergence to the correct direction with accuracy, we use the steepest descent method...
Direction-of-arrival (DOA) estimation of sound sources by using microphone array is an important technique. Its applications are teleconference system and human-robot communicating system and so on. This paper describes a DOA estimation method using array with arbitrary 3-dimentional configuration. The problem discussed in this study is the case in the presence of spatial aliasing. The proposed method...
For the purpose of automatic speech recognition and speech animation synthesis, speaker verification and so on, there have been studies on ‘viseme’. Viseme is a visually identifiable unit of utterance or the equivalent unit in the visual domain of the phoneme in audio domain. The classification and the discrimination method of visemes are still important topics. This paper focuses on the number of...
This study proposes a method to estimate the direction of arrival (DOA) for multiple sources by using microphone array under aliasing condition. Many conventional DOA estimation methods based on the sparseness of time-frequency (T-F) components of speech signals have to limit the sensor distance because of avoiding spatial aliasing due to the use of phase difference. Here we propose a 3-dimentional...
This paper proposes a single-channel image blind restoration by using iterative principal components analysis (PCA). Previously we proposed the iterative PCA approaches for blind restoration and proved its superiority over conventional methods. Still, there are some problems to be solved. One of them is precise and automatic way to determine the iteration number. This study tries to solve this by...
In recent years, automatic lip reading based on ‘visemes’ have been studied by researchers for realizing human-machine interactive communication system in many applications. However there are a lot of problems such as the definition of the number of viseme classes, discrimination method of visemes, speech recognition method based on visemes, and so on. In this paper, a novel classification of Japanese...
This paper proposes a single-channel image blind restoration using iterative principal components analysis (PCA) to improve the quality of restoration. Previously proposed PCA approaches for blind restoration have a lot of problems. For example, the process of boosting high-frequency components would be improvable, no numerical evaluation has been performed, and etc‥ Generating an ensemble by means...
Image interpolation is still a widely studied issue for rescaling a low-resolution image to a high resolution image. This paper tends to modify the data-dependent steering kernel regression image interpolation in order to reduce the computational cost in point-wise determination of data-dependent or nonlinear filter coefficients. Instead solving a kernel-based weighting least mean squared minimization...
This study proposes a method to track multiple moving sources based on time-frequency analysis. Specific feature of moving source tracking problem is to obtain accurate estimate provided the speakers are stationary within a short time interval, thus stable estimation would be difficult. At first, basic theory for direction finding is developed for arbitrary array configuration and kernel density estimator...
Color-invariance property of objects is effectively employed for developing non-rigid object tracking algorithms in the field of computer vision. This paper develops a novel color-based tracking algorithm for non-rigid 3-D objects with multiple colors. Especially, the proposed particle filter method can track the targets even if the appearance /disappearance of color regions were occurred by self-occlusion...
Visual speech recognition or lip reading is an approach for noise robust speech recognition by adding speaker's visual cues to audio information. Basically visual-only speech recognition is applicable to speaker verification and multimedia interface for supporting speaking impaired person. The sequential mouth-shape code method is an effective approach of lip reading for particularly uttered Japanese...
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