Gait Based Recognition
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.
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Bachelor of Science (B.S.)
College of Engineering and Computer Science
Dissertations, Academic -- Engineering and Computer Science; Engineering -- Dissertations, Academic; Biometric identification; Gait in humans -- Computer simulation
Length of Campus-only Access
Honors in the Major Thesis
Datta, Ankur, "Gait Based Recognition" (2004). HIM 1990-2015. 376.