Computational approaches for real-time extraction of soft biometrics
Soft biometrics, as a prescreening filter, contribute to a much smaller candidate pool and allow the overall query to perform better and faster. In this paper, we focus on the efficiency and effectiveness of several soft biometrics for surveillance applications. We propose a temporal signature in x-...
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Published in | 2008 19th International Conference on Pattern Recognition pp. 1 - 4 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English Japanese |
Published |
IEEE
01.12.2008
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Subjects | |
Online Access | Get full text |
ISBN | 9781424421749 1424421748 |
ISSN | 1051-4651 |
DOI | 10.1109/ICPR.2008.4761878 |
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Summary: | Soft biometrics, as a prescreening filter, contribute to a much smaller candidate pool and allow the overall query to perform better and faster. In this paper, we focus on the efficiency and effectiveness of several soft biometrics for surveillance applications. We propose a temporal signature in x-t slices. Such a signature has explicitly embedded body articulation and enables direct mensuration. The algorithms determine characteristics for gender, body size, height, cadence, and stride of the subject using a novel gait analysis tool. We have evaluated algorithm performance under various poses, ranges, and illuminations. Preliminary experiments have shown promising results. |
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ISBN: | 9781424421749 1424421748 |
ISSN: | 1051-4651 |
DOI: | 10.1109/ICPR.2008.4761878 |