Liu, Guoliang, Liu, Tiantian, Tian, Guohui and Ji, Ze ![]() |
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Abstract
In this paper, we propose a distributed solution for3D human pose estimation using a RGBD camera network. Thekey feature of our method is a dynamic hybrid consensus filter(DHCF) is introduced to fuse the multiple view informationof cameras. In contrast to the centralized fusion solution,the DHCF algorithm can be used in a distributed network,which requires no central information fusion center. Therefore,the DHCF based fusion algorithm can benefit from manyadvantages of distributed network. We also show that theproposed fusion algorithm can handle the occlusion problemseffectively, and achieve higher action recognition rate comparedto the ones using only single view information.
Item Type: | Conference or Workshop Item (Paper) |
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Date Type: | Publication |
Status: | Published |
Schools: | Engineering |
Publisher: | IEEE |
ISBN: | 9781728163222 |
Date of First Compliant Deposit: | 20 November 2019 |
Date of Acceptance: | 1 November 2019 |
Last Modified: | 09 Dec 2022 10:04 |
URI: | https://orca.cardiff.ac.uk/id/eprint/126999 |
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