Saliency and Granularity: Discovering Temporal Coherence for Video-Based Person Re-Identification-Reference-Cited by-同舟云学术

Saliency and Granularity: Discovering Temporal Coherence for Video-Based Person Re-Identification

Published:2022-09 Issue:9 Volume:32 Page:6100-6112
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Chen Cuiqun¹^ORCID,Ye Mang²^ORCID,Qi Meibin³^ORCID,Wu Jingjing¹^ORCID,Liu Yimin¹,Jiang Jianguo³

Affiliation:

1. School of Computer Science and Information Engineering, Hefei University of Technology, Anhui, Hefei, China

2. National Engineering Research Center for Multimedia Software, Hubei Key Laboratory of Multimedia and Network Communication Engineering, Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, China

3. Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education, School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China

Funder

National Natural Science Foundation of China

Key Research and Development Program of Hubei Province

CAAI-Huawei MindSpore Open Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/9875133/09729212.pdf?arnumber=9729212

Reference66 articles.

1. PhD Learning: Learning with Pompeiu-hausdorff Distances for Video-based Vehicle Re-Identification