Person re-identification through a camera network deals with finding a correct link between consecutive observations of the same target among different cameras in order to choose the most probable correspondence among a set of possible matches. This task is particularly challenging in presence of low-resolution camera networks. In this work, a method for people re-identification in a framework of low-resolution camera network is presented. The proposed approach can be divided in two parts. First, the illumination changes of a target while crossing the network is analyzed. The color structure is evaluated using a novel color descriptor, the Color Structure Descriptor, which describes the differences of dominant colors between two regions of interest. Afterwards, a new pruning system for the links, the Target Color Structure is proposed. Results shows that the improvements achieved applying Target Color Structure control are up to 4% for the top rank and up to 16% considering the first eleven more similar candidates. © 2013 SPIE-ISandT.

Battisti, F., Carli, M., Farinella, G., Neri, A. (2013). Target re-identification in low quality camera networks. In Proceedings of SPIE - The International Society for Optical Engineering (pp.865502) [10.1117/12.2004470].

Target re-identification in low quality camera networks

BATTISTI, FEDERICA;CARLI, Marco;NERI, Alessandro
2013-01-01

Abstract

Person re-identification through a camera network deals with finding a correct link between consecutive observations of the same target among different cameras in order to choose the most probable correspondence among a set of possible matches. This task is particularly challenging in presence of low-resolution camera networks. In this work, a method for people re-identification in a framework of low-resolution camera network is presented. The proposed approach can be divided in two parts. First, the illumination changes of a target while crossing the network is analyzed. The color structure is evaluated using a novel color descriptor, the Color Structure Descriptor, which describes the differences of dominant colors between two regions of interest. Afterwards, a new pruning system for the links, the Target Color Structure is proposed. Results shows that the improvements achieved applying Target Color Structure control are up to 4% for the top rank and up to 16% considering the first eleven more similar candidates. © 2013 SPIE-ISandT.
9780819494283
9780819494283
Battisti, F., Carli, M., Farinella, G., Neri, A. (2013). Target re-identification in low quality camera networks. In Proceedings of SPIE - The International Society for Optical Engineering (pp.865502) [10.1117/12.2004470].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/308125
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