Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature

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Summary

A video-based person re-identification method called the end-to-end learning architecture with hybrid deep appearance-temporal feature that can learn the appearance features of pivotal frames, the temporal features, and the independent distance metric of different features.

Type
article
Published
2018-10-29
Cited by
7
References
46
Access
Open access

Keywords

Rhetoric, Politics, Democracy, Interpretation (philosophy), Narrative

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