Adaptive Object Re-ideiitification based on Rol aware SIFT-CNN Hvbrid Feature Clustering
Adaptive Object Re-ideiitification based on Rol aware SIFT-CNN Hvbrid Feature Clustering
About this item
Full title
Author / Creator
Publisher
Athens: The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)
Journal title
Language
English
Formats
Publication information
Publisher
Athens: The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)
Subjects
More information
Scope and Contents
Contents
A deep learning based object re-identification is emerging technology for exploiting sophisticated association with multiple pre-observed references. One of the representative applications used in the surveillance system is the object re-identification that matches and finds the specific target object among the several aggregated data. Since the sa...
Alternative Titles
Full title
Adaptive Object Re-ideiitification based on Rol aware SIFT-CNN Hvbrid Feature Clustering
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2362910284
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2362910284