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3D Multi Person Tracking With Dual 360° Cameras

3D Multi Person Tracking With Dual 360° Cameras
3D Multi Person Tracking With Dual 360° Cameras
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.
Shere, M.
4c639f4e-704c-4e4f-ab97-8e3fd6eafaad
Kim, Hansung
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Hilton, Adrian
12782a55-4c4d-4dfb-a690-62505f6665db
Shere, M.
4c639f4e-704c-4e4f-ab97-8e3fd6eafaad
Kim, Hansung
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Hilton, Adrian
12782a55-4c4d-4dfb-a690-62505f6665db

Shere, M., Kim, Hansung and Hilton, Adrian (2020) 3D Multi Person Tracking With Dual 360° Cameras. IEEE International Conference on Image Processing (ICIP), ,. 25 - 28 Oct 2020. ().

Record type: Conference or Workshop Item (Paper)

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.

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More information

Published date: October 2020
Venue - Dates: IEEE International Conference on Image Processing (ICIP), ,, 2020-10-25 - 2020-10-28

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Local EPrints ID: 445073
URI: http://eprints.soton.ac.uk/id/eprint/445073
DOI:
PURE UUID: 4aab59ca-40d3-4603-bd77-bc7bf9b5ae11
ORCID for Hansung Kim:

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Date deposited: 19 Nov 2020 17:30
Last modified: 19 Nov 2020 17:30

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Contributors

Author: M. Shere
Author: Hansung Kim
Author: Adrian Hilton

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