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3D MULTI PERSON TRACKING WITH DUAL 360°CAMERAS

Shere, Matthew, Kim, Hansung and Hilton, Adrian (2020) 3D MULTI PERSON TRACKING WITH DUAL 360°CAMERAS In: IEEE International Conference on Image Processing 2020, 25-28 October 2020, Abu Dhabi, UAE.

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Abstract

Person tracking is an often studied facet of computer vision, with applications in security, automated driving and entertainment. However, despite the advantages they offer, few current solutions work for 360° cameras, due to projection distortion. This paper presents a simple yet robust method for 3D tracking of multiple people in a scene from a pair of 360° cameras. By using 2D pose information, rather than potentially unreliable 3D position or repeated colour information, we create a tracker that is both appearance independent as well as capable of operating at narrow baseline. Our results demonstrate state of the art performance on 360° scenes, as well as the capability to handle vertical axis rotation.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Shere, Matthewm.shere@surrey.ac.uk
Kim, Hansung
Hilton, AdrianA.Hilton@surrey.ac.uk
Date : 16 May 2020
Funders : EPSRC, BBC Research and Development
Grant Title : EPSRC Grant
Uncontrolled Keywords : 360 Imaging, 360 Tracking, Panoramic Imaging, Person Tracking, Multi Person Tracking
Depositing User : James Marshall
Date Deposited : 04 Jun 2020 15:44
Last Modified : 04 Jun 2020 15:44
URI: http://epubs.surrey.ac.uk/id/eprint/857076

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