Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/25389
Author(s): | Verlekar, T. T. Correia, P. L. Soares, L. D. |
Date: | 2016 |
Title: | View-invariant gait recognition exploiting spatio-temporal information and a dissimilarity metric |
Event title: | 15th International Conference of the Biometrics Special Interest Group, BIOSIG 2016 |
ISBN: | 978-3-8857-9654-1 |
DOI (Digital Object Identifier): | 10.1109/BIOSIG.2016.7736937 |
Keywords: | View invariance Gait recognition Dissimilarity space Biometrics |
Abstract: | In gait recognition, when subjects do not follow a known walking trajectory, the comparison against a database may be rendered impossible. Some proposed solutions rely on learning and mapping the appearance of silhouettes along various views, with some limitations caused for instance by appearance changes (e.g. coats or bags). The present paper discusses this problem and proposes a novel solution for automatic viewing angle identification, using minimal information computed from the walking person silhouettes, while being robust against appearance changes. The proposed method is more efficient and provides improved results when compared to the available alternatives. Moreover, unlike most state-of-the- art methods, it does not require a training stage. The paper also discusses the use of a dissimilarity metric for the recognition stage. Dissimilarity metrics have shown interesting results in several recognition systems. This paper also attests the strength of a dissimilarity-based approach for gait recognition. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | IT-CRI - Comunicações a conferências internacionais |
Files in This Item:
File | Description | Size | Format | |
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article_30510.pdf | Versão Aceite | 750,09 kB | Adobe PDF | View/Open |
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