k-Reciprocal Harmonious Attention Network for Video-Based Person Re-Identification

k-Reciprocal Harmonious Attention Network for Video-Based Person Re-Identification

Video-based person re-identification aims to retrieve video sequences of the same person in the multi-camera system. In this paper, we propose a k -reciprocal harmonious attention network (KHAN) to jointly learn discriminative spatiotemporal features and the similarity metrics. In KHAN, the harmonio...

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Bibliographic Details
Main Authors: Xinxing Su, Xiaoye Qu, Zhikang Zou, Pan Zhou, Wei Wei, Shiping Wen, Menglan Hu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Video-based person re-identification
attention
k-reciprocal
temporal information
Online Access:https://ieeexplore.ieee.org/document/8643936/

Internet

https://ieeexplore.ieee.org/document/8643936/

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