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Gait Analysis

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Submitted By utsav0511
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Abstract

ABSTRACT
One of the main goals of computer vision research is to develop methods for recognition of objects and events. A subclass of these problems is the recognition of humans and their activities. Recognition of humans from arbitrary viewpoints is an important requirement for different applications such as intelligent environments, surveillance and access control.

Human gait is an attractive modality for recognizing people at a distance. Human gait is a spatio-temporal phenomenon that characterizes the motion characteristics of an individual. There is an increased interest in gait as a biometric, mainly due to its nonintrusive as well as non-concealable nature. It is possible to detect and measure gait even in low resolution video. Our goal is to establish a simple baseline method for human identification based on body shape and gait. Our project describes a representation of the dynamics of human walking action for the purpose of person identification and classification by gait appearance. The outer contour of the binarized silhouette of a walking person is chosen as the basic image feature. This project is also based on face recognition software to obtain recognition in a short period of time interval after the image is searched.. Since there has been significant improvement in the sector of retrieval systems and recognition based on biometric systems the project gains a lot of weightage in terms of research carried out.

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Introduction

1. INTRODUCTION
1.1 IMAGE PROCESSING:
Image Processing is a technique to enhance raw images received from cameras or sensors placed on satellites, space probes, aircrafts, surveillance systems or pictures taken in normal day-to-day life for various applications. Various techniques have been developed in Image Processing during the last four to five decades. Image Processing systems are becoming popular

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