Siamese Networks Based People Tracking for 360-degree Videos with Equi-angular Cubemap Format

Kuan Chen Tai, Chih Wei Tang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)

摘要

This paper proposes a deep learning based pedestrian tracking scheme for 360-degree videos using equiangular cubemap (EAC) format. To be robust against content discontinuity of EAC images, this paper proposes an efficient face stitching scheme such that the tracker keeps tracking across adjacent faces and avoids raising geometric deformation simultaneously. By referring to statistics of score maps from efficient fully-convolutional siamese networks, the proposed mechanism of template update determines the timing of update. Experimental results show that the proposed tracker operates at 60 fps and outperforms the fully convolutional siamese networks based tracker on 360-degree videos with EAC format both in precision plots and success plots.

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主出版物標題2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728173993
DOIs
出版狀態已出版 - 28 9月 2020
事件7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 - Taoyuan, Taiwan
持續時間: 28 9月 202030 9月 2020

出版系列

名字2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

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???event.eventtypes.event.conference???7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
國家/地區Taiwan
城市Taoyuan
期間28/09/2030/09/20

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