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Exploiting color cues to improve person re-identification

Abstract : Person re-identification is essentially the task of recognizing the same person across different non-overlapping cameras. It has been intensively studied due to its critical role for many security applications of video surveillance. In this paper we exploit the low-level color information in two different aspects, showing the strength provided by colors to increase the accuracy of classification. First, we propose a discriminant embedding for the feature descriptor, which takes into consideration all color components at one time using the quaternions. Second, we propose to assign each individual to a color name in order to increase the discrimination of our descriptor with a semantic analysis. Experiments are carried out on the highly challenging VIPeR dataset. Comparison with some state-of-the-art methods is provided and the proposed method shows better performance even with a simple metric learning method.
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https://hal-utt.archives-ouvertes.fr/hal-03320678
Contributor : Jean-Baptiste Vu Van Connect in order to contact the contributor
Submitted on : Monday, August 16, 2021 - 11:51:05 AM
Last modification on : Friday, August 27, 2021 - 3:14:07 PM

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Charbel Chahla, Hichem Snoussi, F. Abdallah, F. Dornaika. Exploiting color cues to improve person re-identification. 7th International Conference on Imaging for Crime Detection and Prevention (ICDP 2016), Nov 2016, Madrid, Spain. ⟨10.1049/ic.2016.0089⟩. ⟨hal-03320678⟩

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