Deep Learning Pipeline for Spotting Macro- and Micro-expressions in Long Video Sequences Based on Action Units and Optical Flow-Reference-Cited by-同舟云学术

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Deep Learning Pipeline for Spotting Macro- and Micro-expressions in Long Video Sequences Based on Action Units and Optical Flow

Published:2023-01 Issue: Volume:165 Page:63-74
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Yang Bo^ORCID,Wu Jianming,Ikeda Kazushi,Hattori Gen,Sugano Masaru,Iwasawa Yusuke,Matsuo Yutaka

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference65 articles.

1. Deep learning using rectified linear units (relu);Agarap;arXiv preprint arXiv:1803.08375,2018

2. A comparative study on optical flow for facial expression analysis;Allaert;Neurocomputing,2022

3. Analysis of Micro-Expressions based on the Riesz Pyramid : Application to Spotting and Recognition;Arango Duque,2018

4. Openface 2.0: Facial behavior analysis toolkit;Baltrusaitis,2018

5. The opencv library;Bradski;Dr. Dobb’s Journal of Software Tools,2000

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5. Unbiased Decision-Making Framework in Long-Video Macro & Micro-Expression Spotting;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

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