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Erschienen in:
The Re-identification Challenge Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

8. One-Shot Person Re-identification with a Consumer Depth Camera

verfasst von : Matteo Munaro, Andrea Fossati, Alberto Basso, Emanuele Menegatti, Luc Van Gool

Erschienen in: Person Re-Identification

Verlag: Springer London

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Abstract

In this chapter, we propose a comparison between two techniques for one-shot person re-identification from soft biometric cues. One is based upon a descriptor composed of features provided by a skeleton estimation algorithm; the other compares body shapes in terms of whole point clouds. This second approach relies on a novel technique we propose to warp the subject’s point cloud to a standard pose, which allows to disregard the problem of the different poses a person can assume. This technique is also used for composing 3D models which are then used at testing time for matching unseen point clouds. We test the proposed approaches on an existing RGB-D re-identification dataset and on the newly built BIWI RGBD-ID dataset. This dataset provides sequences of RGB, depth, and skeleton data for 50 people in two different scenarios and it has been made publicly available to foster advancement in this new research branch.

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Vorheriges Kapitel Person Re-identification by Articulated Appearance Matching
Nächstes Kapitel Group Association: Assisting Re-identification by Visual Context
Fußnoten
1
The BIWI RGBD-ID dataset can be downloaded at: http://​robotics.​dei.​unipd.​it/​reid.
 
2
Microsoft’s SDK provides a flag for every joint stating if it is tracked, inferred, or not tracked.
 
3
It is worth noting that all the links belonging to the torso have the same orientation, as the hip center.
 
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Metadaten
Titel
One-Shot Person Re-identification with a Consumer Depth Camera
verfasst von
Matteo Munaro
Andrea Fossati
Alberto Basso
Emanuele Menegatti
Luc Van Gool
Copyright-Jahr
2014
Verlag
Springer London
Buch
Person Re-Identification

Print ISBN: 978-1-4471-6295-7

Electronic ISBN: 978-1-4471-6296-4

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-1-4471-6296-4_8

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