ideo surveillance has gained importance in law enforcement, security and military applications. The system consists of processing steps such as object detection, movement tracking, and activity monitoring. The paper contribution is to present the human ...

In daily life, human beings communicate with each other and use broad range of gestures in the process of interaction. Apart of the interpersonal communication, many hours are spent in the interaction with the electronic devices. In the last decade, new ...

A Web Search Engine is designed to search for information over World Wide Web. When user submits a query, the generated information is often very large and inaccurate, that results in increased user perceived latency. In this paper, a novel approach of ...

In this work, we address off-line signature verification as a writer-independent system. We propose a set of morphological features, extracted from off-line signature images. To examine the effectiveness of the features, a publicly available signature ...

In this paper, we present a novel approach for detection of moving vehicles in traffic videos. We propose a feature-based (corner-based) tracking to track and classify moving vehicles from the extracted ghost or cast shadow. The corner points of the ...

In teams working closely together, interruptions of coworkers are normal and necessary. One of the goals of the ambient intelligent computing framework MATe (Mate for Awareness in Teams) is to prevent unwanted interruptions and at the same time improve ...

Natural language is a mechanism and a way for humans to express himself or herself. In order to understand what has been expressed, language analysis at different levels has to be done. Just like formal languages, natural language also has definite ...

Volume rendering is frequently used for visualising 3D volume data. In practical applications, there may be a need not only to render the volume data but also to directly select and edit it in a paradigm similar to image editing. Being the basis of ...

Determining number of clusters present in a data set is an important problem in clustering. There exist very few techniques that can solve this problem satisfactorily. Most of these techniques are expensive with regard to computation time. This paper ...

In this paper, we propose a technique to generate DCT based unique normalized face using Principal Component Analysis (PCA). The idea of the PCA is to decompose face images into a small set of characteristic feature images. In the proposed technique we ...

In this paper, we propose a model based on ripeness evaluation for classification of tobacco leaves useful for automatic harvesting in a complex agriculture environment. The CIELAB color space model is used to segment the leaf from the background. We ...

Recently the reversible data hiding technology has been discussed extensively because of its major characteristic which enables the exact reconstruction of image from watermarked image. In this paper, a high capacity and high quality reversible ...

The aim of this paper is to study the effect of feature level fusion of multi instances of finger knuckle prints. Initially, Zernike moments are extracted for a single instance of finger knuckle print of a person and study the identification accuracy. ...

In this paper a novel approach for identification of whorl part of flowers useful for flower classification is presented. The problem is challenging because of the sheer variety of flower classes, intra-class variability, variation within a particular ...

Data mining is concerned with analyzing large volumes of unstructured data to discover interesting regularities or relationships which in turn lead to better understanding of the underlying processes. Existing algorithms like association rule mining, ...

Recently a lot of hand held devices have been commercially employed, but they suffer from the problems such as un-natural interaction and comfort of use. The computer vision based HCI (Human Computer Interaction) is an effective and straightforward ...

In this paper, we propose a new recognition algorithm for handwritten digit recognition. This algorithm is designed to enhance the recognition accuracy of current Microsoft SDK recognizer. The algorithm recognizes the unique signature of each number by ...

Rapid development of the multimedia and the associated technologies urge the processing of a huge database of video clips. The processing efficiency lies on the search methodologies utilized in the video processing system. Usage of inappropriate search ...

Signals acquired through any modern sensors suffer from variety of noises resulting from stochastic variations and deterministic distortions or shading. Hence it is desired to smooth the noisy signal to obtain a signal with higher quality. The paper ...

Feedback on pronunciation or articulation is an important component of spoken language teaching. Automating this aspect with speech recognition technology has been an active area of research in the context of computer-aided language-learning systems. ...