One-Shot Person Re-identification with a Consumer Depth Camera [chapter]

Matteo Munaro, Andrea Fossati, Alberto Basso, Emanuele Menegatti, Luc Van Gool
2014 Person Re-Identification  
In this chapter, we propose a comparison between two techniques for oneshot 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
more » ... 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 advancements in this new research branch.
doi:10.1007/978-1-4471-6296-4_8 dblp:series/acvpr/MunaroFBMG14 fatcat:kmhuzvp7grhnpgkvwg2vet3j5q