Abstract
In this paper we propose a novel multimodal fusion approach based on PCA-LDA processing for person identification from low resolution surveillance video with cues extracted from gait and face biometrics. The experimental evaluation of the proposed scheme on a publicly available database [2] showed that the combined PCA-LDA face and gait when fused in either hierarchical or holistic fusion, can lead to powerful identity verification that can capture the inherent multimodality in walking gait patterns and ascertain the identity from low resolution surveillance videos.
Original language | English |
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Title of host publication | Proceedings - 2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing, EUC 2011 |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 332-337 |
Number of pages | 6 |
ISBN (Print) | 9781457718229, 9780769545523 |
DOIs | |
Publication status | Published - 2011 |
Event | 2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing, EUC 2011 - Melbourne, VIC, Australia Duration: 24 Oct 2011 → 26 Oct 2011 |
Conference
Conference | 2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing, EUC 2011 |
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Country/Territory | Australia |
City | Melbourne, VIC |
Period | 24/10/11 → 26/10/11 |