ITE Transactions on Media Technology and Applications
Online ISSN : 2186-7364
ISSN-L : 2186-7364
Regular Section
[Paper] Multiple Human Tracking with Alternately Updating Trajectories and Multi-Frame Action Features
Hitoshi NishimuraKazuyuki TasakaYasutomo KawanishiHiroshi Murase
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2020 Volume 8 Issue 4 Pages 269-279

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Abstract

In this paper, we propose a multiple human tracking method with alternately updating trajectories and mult iframe action features (MHT-MAF). Even though occlusion or motion blur occurs due to the sudden movement of the drone, ID switches are prevented by the stable MAF. In the experiments, we verified the effectiveness of the proposed method using the Okutama-Action dataset. Our code is available online (https://github.com/hitottiez/mht-paf).

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© 2020 The Institute of Image Information and Television Engineers
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