EGST: An Efficient Solution for Human Gaits Recognition Using Neuromorphic Vision Sensor-Reference-Cited by-同舟云学术

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EGST: An Efficient Solution for Human Gaits Recognition Using Neuromorphic Vision Sensor

Published:2024 Issue: Volume:19 Page:6144-6154
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Chen Liaogehao¹^ORCID,Zhang Zhenjun¹^ORCID,Xiao Yang²^ORCID,Wang Yaonan¹^ORCID

Affiliation:

1. College of Electrical and Information Engineering, Hunan University, Changsha, China

2. National Key Laboratory of Science and Technology on Multispectral Information Processing, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

Funder

Natural Science Foundation of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/10206/10319981/10547037.pdf?arnumber=10547037

Reference48 articles.

1. Event-Based Vision: A Survey

2. A 240×180 10 mW 12 us latency sparse-output vision sensor for mobile applications;Berner

3. Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception

4. Asynchronous frameless event-based optical flow

5. On event-based optical flow detection

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