A User-Based Framework for Group Re-Identification in Still Images
In this work we propose a framework for group re-identification based on manually defined soft-biometric characteristics. Users are able to choose colors that describe the soft-biometric attributes of each person belonging to the searched group. Our technique matches these structured attributes agai...
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Published in: | 2015 IEEE International Symposium on Multimedia (ISM) pp. 315 - 318 |
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Main Authors: | , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
01-12-2015
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Subjects: | |
Online Access: | Get full text |
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Summary: | In this work we propose a framework for group re-identification based on manually defined soft-biometric characteristics. Users are able to choose colors that describe the soft-biometric attributes of each person belonging to the searched group. Our technique matches these structured attributes against image databases using color distance metrics, a novel adaptive threshold selection and people's proximity high level feature. Experimental results show that the proposed approach is able to help the re-identification procedure ranking the most likely results without training data, and also being extensible to work without previous images. |
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DOI: | 10.1109/ISM.2015.41 |