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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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2362910284

Adaptive Object Re-ideiitification based on Rol aware SIFT-CNN Hvbrid Feature Clustering

About this item

Full title

Adaptive Object Re-ideiitification based on Rol aware SIFT-CNN Hvbrid Feature Clustering

Publisher

Athens: The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)

Journal title

Proceedings on the International Conference on Artificial Intelligence (ICAI), 2019, p.456-461

Language

English

Publication information

Publisher

Athens: The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp)

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

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Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2362910284

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2362910284

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