Real-time Appearance-based Person Re-identification Over Multiple KinectTM Cameras

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.