Deep learning with particle filter for person re-identification
Deep learning with particle filter for person re-identification
About this item
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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
Person re-identification, having attracted much attention in the multimedia community, is still challenged by the accuracy and the robustness, as the images for the verification contain such variations as light, pose, noise and ambiguity etc. Such practical challenges require relatively robust and accurate feature learning technologies. We introduc...
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Full title
Deep learning with particle filter for person re-identification
Authors, Artists and Contributors
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Record Identifier
TN_cdi_proquest_journals_2075941192
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2075941192
Other Identifiers
ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-018-6415-5
