A spatial and temporal features mixture model with body parts for video-based person re-identificati...
A spatial and temporal features mixture model with body parts for video-based person re-identification
About this item
Full title
Author / Creator
Liu, Jie , Sun, Cheng , Xu, Xiang , Xu, Baomin and Yu, Shuangyuan
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
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Scope and Contents
Contents
The goal of video-based person re-identification is to recognize a person at different camera settings. Most previous methods use features from the full body to represent a person. In this paper, we propose a novel Spatial and Temporal Features Mixture Model (STFMM). Unlike previous approaches, our model first horizontally splits human body into
Alternative Titles
Full title
A spatial and temporal features mixture model with body parts for video-based person re-identification
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2208520177
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2208520177
Other Identifiers
ISSN
0924-669X
E-ISSN
1573-7497
DOI
10.1007/s10489-019-01459-8
