计算机与数字工程2024，Vol.52Issue(6)：1617-1621,1801,6.DOI:10.3969/j.issn.1672-9722.2024.06.005
基于滑动窗口和时空特征的微表情检测算法
Micro-expression Detection Algorithm Based on Sliding Window and Spatio-temporal Features
摘要
Abstract
Due to the inherent characteristics of short time and weak intensity of micro expression,it is still difficult to detect micro expression automatically.In order to improve the effect of micro expression detection,this paper proposes a micro expression detection algorithm based on sliding window and spatio-temporal features.Firstly,a micro expression video is divided into several sliding windows by using sliding window technology,then the spatio-temporal features are extracted from each sliding window,and the detection results of a single window are obtained by matching with micro expression SP pattern.Finally,the detection results of all sliding windows are fused.The algorithm is tested on CAS(ME)2 and SAMM data sets,and compared with the baseline results of the 2020 micro expression challenge(MEGC 2020).The results show that the algorithm improves the micro expression detection by 4.7%and 9.7%respectively on CAS(ME)2 and SAMM data sets,and 9.9%and 5.7%on the whole.The effectiveness of the algo-rithm is verified.关键词
微表情检测/滑动窗口/时空特征Key words
micro-expression detection/sliding window/spatio-temporal features分类
信息技术与安全科学引用本文复制引用
马崟桓,黄树成,李明星..基于滑动窗口和时空特征的微表情检测算法[J].计算机与数字工程,2024,52(6):1617-1621,1801,6.基金项目
国家自然科学基金项目(编号:61772244)资助. （编号:61772244）
