An Effectively Finite-Tailed Updating for Multiple Object Tracking in Crowd Scenes
An Effectively Finite-Tailed Updating for Multiple Object Tracking in Crowd Scenes
About this item
Full title
Author / Creator
Xu, Biaoyi , Liang, Dong , Li, Ling , Quan, Rong and Zhang, Mingguang
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Multiple Object Tracking (MOT) focuses on tracking all the objects in a video. Most MOT solutions follow a tracking-by-detection or a joint detection tracking paradigm to generate the object trajectories by exploiting the correlations between the detected objects in consecutive frames. However, according to our observations, considering only the co...
Alternative Titles
Full title
An Effectively Finite-Tailed Updating for Multiple Object Tracking in Crowd Scenes
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_786c393d8c1e4fd593b91ca75f31c2fc
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_786c393d8c1e4fd593b91ca75f31c2fc
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app12031061
