3D Reconstruction of freely moving persons for re-identification with a depth sensor


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Date

2014

Publication Type

Conference Paper

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yes

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Abstract

In this work, we describe a novel method for creating 3D models of persons freely moving in front of a consumer depth sensor and we show how they can be used for long-term person re-identification. For overcoming the problem of the different poses a person can assume, we exploit the information provided by skeletal tracking algorithms for warping every point cloud frame to a standard pose in real time. Then, the warped point clouds are merged together to compose the model. Re-identification is performed by matching body shapes in terms of whole point clouds warped to a standard pose with the described method. We compare this technique with a classification method based on a descriptor of skeleton features and with a mixed approach which exploits both skeleton and shape features. We report experiments on two datasets we acquired for RGB-D re-identification which use different skeletal tracking algorithms and which are made publicly available to foster research in this new research branch.

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Publication status

published

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Book title

2014 IEEE International Conference on Robotics and Automation (ICRA)

Journal / series

Volume

6

Pages / Article No.

4512 - 4519

Publisher

IEEE

Event

IEEE International Conference on Robotics and Automation (ICRA 2014)

Edition / version

Methods

Software

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Date created

Subject

Organisational unit

03514 - Van Gool, Luc (emeritus) / Van Gool, Luc (emeritus) check_circle

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