A User-Based Framework for Group Re-Identification in Still Images

Abstract

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.