Repository landing page

We are not able to resolve this OAI Identifier to the repository landing page. If you are the repository manager for this record, please head to the Dashboard and adjust the settings.

A new approach for multi-view gait recognition on unconstrained paths

Abstract

Direction changes cause di culties for most of the gait recognition systems, due to appearance changes. We propose a new approach for multi-view gait recognition, which focuses on recognizing people walking on unconstrained (curved and straight) paths. To this e ect, we present a new rotation invariant gait descriptor which is based on 3D angular analysis of the movement of the subject. Our method does not require the sequence to be split into gait cycles, and is able to provide a response before processing the whole sequence. A Support Vector Machine is used for classifying, and a sliding temporal window with majority vote policy is used to reinforce the classi cation results. The proposed approach has been experimentally validated on \AVA Multi-View Dataset" and \Kyushu University 4D Gait Database" and compared with related state-of-art work. Experimental results demonstrate the e ectiveness of this approach in the problem of gait recognition on unconstrained path

Similar works

Full text

thumbnail-image

Repositorio Institucional de la Universidad de Córdoba

redirect
Last time updated on 11/02/2018

Having an issue?

Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.