In this paper, we will present a novel method of human recognition using gait information. The position of the moving object is first detected using the difference between two continuous frames. Then, based on the detected moving object, all of the gait information is exploited. Based on the head, shoulders and back contour, the walking direction can be extracted. Depending on this parameter, t...

Tensor voting is an efficient algorithm for perceptual grouping and feature extraction, particularly for contour extraction. In this paper two studies on tensor voting are presented. First the use of iterations is investigated, and second, a new method for integrating curvature information is evaluated. In opposition to other grouping methods, tensor voting claims the advantage to be non-iterat...

A new general framework for shape extraction is presented, based on the paradigm of water flow. The mechanism embodies the fluidity of water and hence can detect complex shapes. A new snake-like force functional combining edge-based and region-based forces produces capability for both range and accuracy. Properties analogous to surface tension and adhesion are also applied so that the smoothnes...

In recent years, the Software Product Line (SPL) is becoming a mainstream strategy in software development. The high reusability and the great derivability by modelling common and variable artefacts are undoubtedly its significant strengths. Taking advantage of these strengths requires a design of efficient product line. Often, most existing SPL design approaches build on feature modelling by a...

The paper presents a novel approach for extracting structural features from segmented cursive handwriting. The proposed approach is based on the contour code and stroke direction. The contour code feature utilises the rate of change of slope along the contour profile in addition to other properties such as the ascender and descender count, start point and end point. The direction feature identi...

Analyzing commonalities and variabilities among products of a product line is an essential activity for product line asset development. A feature-oriented approach to commonality and variability analysis (called feature modeling) has been used extensively for product line engineering. Feature modeling mainly focuses on identifying commonalities and variabilities among products of a product line...

In this paper, a novel classifier based on nearest feature line is proposed, which is called as restricted nearest feature line with ellipse (RNFLE). NFL successfully improves the classification ability. However there are still some drawbacks in NFL that limit their further application in practice. To improve the miss-classification of nearest feature line when the prototypes in NFL are far awa...

This paper presents a method of creating a new speaker’s voice database (VoiceFont) by which the voice of the donor speaker can be synthesized for mimicking in a text-to-speech system. A VoiceFont creation system, “VoiceFont Builder”, is developed to make the creation process easier and more effective than current systems. The voice feature extraction applied in the system is a simple but power...

In practice of image contour recognition, the precision of shape contour extraction is affected by lots of factors, such as noise, shelter and parameters. That will affect the shape contour quality and reduce the recognition effect. To solve these problems, a Shape Contour Recognition Method Based on Complex Network is discussed in this study. The main idea of the approach is to use complex net...

An oblique line translating vertically behind a horizontal rectangular aperture is perceived as moving in the horizontal direction, i.e., in the line-ending's direction. When a feature is added on the line, and thus provides a vertical unambiguous motion signal, the line's perceived direction is still horizontal. In parallel, the feature appears to slide obliquely along the line (Wallach, 1935)...