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THE STUDY OF ACTIVATION FUNCTIONS IN DEEP LEARNING FOR PEDESTRIAN DETECTION AND TRACKING

THE STUDY OF ACTIVATION FUNCTIONS IN DEEP LEARNING FOR PEDESTRIAN DETECTION AND TRACKING

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6730f4dc96d34052ba1e911966e6b508

THE STUDY OF ACTIVATION FUNCTIONS IN DEEP LEARNING FOR PEDESTRIAN DETECTION AND TRACKING

About this item

Full title

THE STUDY OF ACTIVATION FUNCTIONS IN DEEP LEARNING FOR PEDESTRIAN DETECTION AND TRACKING

Publisher

Gottingen: Copernicus GmbH

Journal title

International archives of the photogrammetry, remote sensing and spatial information sciences., 2019, Vol.XLII-2/W12, p.53-59

Language

English

Publication information

Publisher

Gottingen: Copernicus GmbH

More information

Scope and Contents

Contents

Pedestrian detection and tracking remains a highlight research topic due to its paramount importance in the fields of video surveillance, human-machine interaction, and tracking analysis. At present time, pedestrian detection is still an open problem because of many challenges of image representation in the outdoor and indoor scenes. In recent year...

Alternative Titles

Full title

THE STUDY OF ACTIVATION FUNCTIONS IN DEEP LEARNING FOR PEDESTRIAN DETECTION AND TRACKING

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6730f4dc96d34052ba1e911966e6b508

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6730f4dc96d34052ba1e911966e6b508

Other Identifiers

ISSN

2194-9034,1682-1750

E-ISSN

2194-9034

DOI

10.5194/isprs-archives-XLII-2-W12-53-2019

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