Modelling the Effect of View Angle Variation on Appearance-Based Gait Recognition

In recent years, many gait recognition algorithms have been developed, but most of them depend on a specific view angle. However, view angle variation is a significant factor among those that affect gait recognition performance. It is important to find the relationship between the performance and th...

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Hauptverfasser:	Yu, Shiqi, Tan, Daoliang, Tan, Tieniu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Fourier Descriptor Gait Recognition Outer Contour Pattern recognition. Digital image processing. Computational geometry View Angle View Direction
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creator	Yu, Shiqi Tan, Daoliang Tan, Tieniu
description	In recent years, many gait recognition algorithms have been developed, but most of them depend on a specific view angle. However, view angle variation is a significant factor among those that affect gait recognition performance. It is important to find the relationship between the performance and the view angle. In this paper, we discuss the effect of view angle variation on appearance-based gait recognition performance. A multi-view gait database (124 subjects and 11 view directions) is created for our research. We propose two models, a geometrical one and a mathematical one, to model the effect of view angle variation on appearance-based gait recognition. These models will be valuable for designing robust gait recognition systems.
doi_str_mv	10.1007/11612032_81
format	Conference Proceeding
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subjects	Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Fourier Descriptor Gait Recognition Outer Contour Pattern recognition. Digital image processing. Computational geometry View Angle View Direction
title	Modelling the Effect of View Angle Variation on Appearance-Based Gait Recognition
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