Online Pedestrian Multiple-Object Tracking with Prediction Refinement and Track Classification
Online Pedestrian Multiple-Object Tracking with Prediction Refinement and Track Classification
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Publisher
New York: Springer US
Journal title
Language
English
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Publication information
Publisher
New York: Springer US
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Scope and Contents
Contents
The performance of pedestrian multiple object tracking (MOT), which is based on the tracking-by-detection framework, is exceedingly susceptible to the quality of detection, especially suffering from detection missing or inaccuracy caused by occlusion. Several studies aimed at alleviating the problem continue to perform poorly in scenarios with freq...
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Full title
Online Pedestrian Multiple-Object Tracking with Prediction Refinement and Track Classification
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Author / Creator
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TN_cdi_proquest_journals_2918348481
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918348481
Other Identifiers
ISSN
1370-4621
E-ISSN
1573-773X
DOI
10.1007/s11063-022-10840-7
