Person re-identification consists of recognizing a person over different cameras, using appearance cues. We investigate the deployment of real-world re-identification systems, by developing and testing a working prototype. We focus on two practical issues: computational complexity, and reliability of segmentation and tracking. The former is addressed by using a recently proposed fast re-identification method, the latter by using Kinect cameras. To our knowledge, this is the first example of a fully-functional re-identification system based on Kinect in the literature. We finally point out possible improvements and future research directions.

Real-time appearance-based person re-identification over multiple Kinect cameras

ROLI, FABIO
2013-01-01

Abstract

Person re-identification consists of recognizing a person over different cameras, using appearance cues. We investigate the deployment of real-world re-identification systems, by developing and testing a working prototype. We focus on two practical issues: computational complexity, and reliability of segmentation and tracking. The former is addressed by using a recently proposed fast re-identification method, the latter by using Kinect cameras. To our knowledge, this is the first example of a fully-functional re-identification system based on Kinect in the literature. We finally point out possible improvements and future research directions.
2013
9789898565471
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1098124
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