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This paper proposes face recognition based on dominant frequency feature and multiresolution metrics. Dominant frequency feature is a small part of face frequency component that represents face information. Dominant frequency feature is extracted by selecting small percentage discrete cosine transforms coefficients that have big magnitude value. Matching process is done by multiresolution metrics...
A novel video object segmentation algorithm based on object structure and chromatic analysis in the rainy situations is proposed in this paper. Firstly, we separate the pixels of both foreground and background from the image sequence by using the change-detection approach. Thus, we can obtain the initial mask of object, which consists of shadow regions and reflective regions on the wet ground. The...
A panoramic video is a wide field-of-view (FOV) video, up to a full view of 360 degrees. In this paper, the model of wide FOV video is proposed based on images which are captured from three cameras without specially designed lens. The proposed model of wide FOV video can be up to a full view of 360 degrees. Experimental results demonstrate that the proposed method for creating wide FOV video has good...
A robust human motion recognition method is proposed in this paper. The basic motion history image (MHI) has been updated considering multidimensional history and energy images to calculate the feature vectors for recognizing various complex human motions. The 'rajio-taiso' (Japanese Radio Exercise) has been recognized by employing the method. This exercise was conducted by some non-professionals...
Our aim is to develop a watermarking method for formatted text documents that is robust to printing and scanning, but with a greater capacity than has previously been achieved. Our end goal is to develop a system with sufficient capacity to embed a simple authenticating watermark. Our method is based on our previous technique of multi-set embedding but now makes use of all word spaces and treats the...
In this paper, we propose a new secure authentication method in binary document images using erasable watermarks. For localization, a sufficient number of low-distortion pixels may not be available in a block and to embed the authentication signature with blind detection constraint poses a challenging problem. Also, a perceptual watermark cannot be embedded in white or background regions of the document...
In this paper, we study the problem of restoring a high-resolution image from several blurred low-resolution images. The images consist of decimated, blurred and noisy versions of the high-resolution image. The high-resolution image is modeled as a maximum a posteriori. We show a projection onto convex sets method with criterion. Computer simulations are given to confirm the effectiveness of the proposed...
Automatic detection and tracking of moving object is very important task for security system, monitoring activity and surveillance application. It is, however, still under the developmental stage and needs to be robust performance when applied in an unconstrained environment. Many approaches have been developed to detect motion, namely, optical flow, frame difference, background subtraction and skin...
The image super-resolution and its reconstruction techniques are introduced, the super-resolution evaluation criterion is preliminarily discussed, the minimizing norm of image difference gradient modular square sum, frequency domain method and profile density curve method are proposed and simulation tests and analysis are carried out in this paper. It is shown from the tests that these methods are...
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