Title

Gait Based Recognition

Abstract

Gait recognition deals with recognizing an individual uniquely based on the ways/he walks. Recently a lot of attention in computer vision has been devoted towards gait recognition because it has important applications in surveillance and biometric authentication. This thesis discusses different methods to solve the problem of gait recognition using joint angles, model and parameter estimation, shape and optical flow and methods that use entire images to do gait based recognition i.e. based on global features. We provide basis for the development of an optimal gait recognition system and finally we evaluate some challenges that still need to be solved and conclude with some thoughts about future directions for human gait recognition.

Notes

This item is only available in print in the UCF Libraries. If this is your thesis or dissertation, you can help us make it available online for use by researchers around the world by downloading and filling out the Internet Distribution Consent Agreement. You may also contact the project coordinator Kerri Bottorff for more information.

Thesis Completion

2004

Semester

Spring

Advisor

Shah, Mubarak

Degree

Bachelor of Science (B.S.)

College

College of Engineering and Computer Science

Degree Program

Computer Science

Subjects

Dissertations, Academic -- Engineering and Computer Science; Engineering -- Dissertations, Academic; Biometric identification; Gait in humans -- Computer simulation

Format

Print

Identifier

DP0021817

Language

English

Access Status

Open Access

Length of Campus-only Access

None

Document Type

Honors in the Major Thesis

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