Present work introduces a probabilistic recognition scheme for hand gestures. Self organizing feature maps are used to model spatiotemporal information extracted through image processing. Two models are built for each gesture category and, along with appropriate distance metrics, produce a validated classification mechanism that performs consistently during experiments on acted gestures video s...

Spatial data mining is the process of discovering interesting and previously unknown, but potentially useful, patterns from large spatial datasets. Extracting interesting and useful patterns from spatial datasets is more diicult than extracting the corresponding patterns from traditional numeric and categorical data due to the complexity of spatial data types, spatial relationships, and spatial...

The focus of this work is on the problem of feature extraction for vehicle detection. Feature extraction is a key point of pattern recognition. In particular, we propose using improved wavelet feature extraction approaches based on HSV space for rear-vehicle detection. Wavelet features are attractive for vehicle detection because they form a compact representation, encode edges, capture informa...

In different methods of Biometrics, recognition by iris images in recent years has been taken into consideration by researchers as one of the common methods of identification like passwords, credit cards or keys. Iris recognition a new biometric technology has great advantages such as variability, stability and security. In this paper we propose a new feature extraction method for iris recognit...

In the product family based application engineering process configuration of the reusable assets is an important issue. Variability introduced during domain engineering has to be resolved to the concrete requirements of the specific application. On the requirements level variability is typically described in feature models as introduced in the FODA approach. On lower levels variability is integ...

abstract this study is an attempt to investigate functions of abhar city as a medium sized city in zanjan province spatial development structure. the method of this study is descriptive-analytical. some quantity models and methods are used in study of the role of this city and its hinterland. the economical models represent that, this city has basic conditions in the second and third economical...

So far the bottleneck of Chinese character recognition, especially handwritten character recognition, still lies in the effectiveness of featureextraction to cater for various distortions and position shifting. In ths paper, a novel method is proposed by applying a set of Gabor spatial filters with different directions and spatial frequencies to character images, in an effort to reach the optim...

So far the bottleneck of Chinese character recognition, especially handwritten character recognition, still lies in the effectiveness of featureextraction to cater for various distortions and position shifting. In ths paper, a novel method is proposed by applying a set of Gabor spatial filters with different directions and spatial frequencies to character images, in an effort to reach the optim...

Editor's Note: These short, critical reviews of recent papers in the Journal, written exclusively by graduate students or postdoctoral fellows, are intended to summarize the important findings of the paper and provide additional insight and commentary. For more information on the format and purpose of the Journal Club, please see Attention is a critical component of visual perception because it...

These works take place in the geographical information retrieval context. Our purpose is to exploit local cultural heritage document repositories whose content is strongly attached to a territory (i.e. geographical information). Geographical information is composed of a spatial feature, a temporal feature and a theme feature. This paper focuses on temporal feature. We first propose a model for ...