A natural disaster is a major adverse event resulting from natural processes of the Earth; examples include floods, hurricanes, tornadoes, volcanic eruptions, earthquakes, tsunamis, and other geologic processes. A natural disaster can cause loss of life or property damage,and typically leaves some economic damage in its wake, the severity of which depends on the affected population's resilience, or ability to recover and also on the infrastructure available.
An adverse event will not rise to the level of a disaster if it occurs in an area with ....etc

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AUTOMATIC GAIT RECOGNITION
Abstract

Gait is an emergent biometric aimed essentially to recognise people by the way they walk. Gait s advantages are that it requires no contact, like automatic face recognition, and that it is less likely to be obscured than other biometrics. Gait has allied subjects including medical studies, psychology, human body modelling and motion tracking. These lend support to the view that gait has clear potential as a biometric. Essentially, we use computer vision techniques to derive a gait signature from a seque ....etc

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i need to know the full informaton about the automatic accident identification and alert system using vibration sensor and rf technology?
please any body give the information how it works ....etc

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C.A.P.T.C.H.A
Completely Automated Public Turing Test to Tell Computers and Humans Apart

Abstract
A CAPTCHA (an acronym for completely automated public Turing test to tell computers and humans apart, trademarked by Carnegie Mellon University) or a MAPTCHA (Mathematical) is a type of challenge-response test used in computing to determine whether or not the user is human. The term was coined in 2000 by Luis von Ahn, Manuel Blum, Nicholas J. Hopper of Carnegie Mellon University, and John Langford of IBM. A common type of CAPTCHA requires t ....etc

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Abstract

The reliable extraction of characteristic gait features from image sequences and their recognition are two important issues in gait recognition. In this paper, we propose a novel 2-step, model-based approach to gait recognition by employing a 5-link biped locomotion human model. We first extract the gait features from image sequences using the Metropolis-Hasting method. Hidden Markov Models are then trained based on the frequencies of these feature trajectories, from which recognition is performed. As it is ent ....etc

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The recognition of the gait is the process of identifying an individual by the manner in which they walk. It is a less biometric discrete marker, which offers the possibility of identifying people at a distance, without any interaction or cooperation of the subject, this is the property that makes it as attractive as a method of identification.

Interest in biometric walking is strongly motivated by the need for an automated recognition system for visual surveillance and monitoring applications. Recently, the use of gait for the identificat ....etc

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helo sir..
i request u to pls send the seminar report on zigbee vehicle theft identification system to my mail id. [email protected] ....etc

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ABSTRACT

Science and technology with all its miraculous advancements has fascinated human life to a great extent that imagining a world without these innovations is hardly possible. While technology is on the raising slope, we should also note the increasing immoral activities. With a technical view, Power Theft is a non-ignorable crime that is highly prevalent, and at the same time it directly affects the economy of a nation. Data collected over Tirunelveli District, Bhel Trichy proves the necessity of this pro ....etc

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synopsis regarding topic virtual talk for dumb deaf blind & normal people circuit ....etc

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Identification of Humans using Gait
IEE Transactions on Image Processing, Vol. 13, No. 9, September 2004
Language: Java,

Abstract:
We propose a view-based approach to recognize humans from their gait. Two different image features have been considered: the width of the outer contour of the binarized silhouette of the walking person and the entire binary silhouette itself. To obtain the observation vector from the image features, we employ two different methods. In the first method, referred to as the indirect approach, the high-di ....etc

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