Micro-expression Detection Algorithm Based on Sliding Window and Spatio-temporal Features
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.
micro-expression detectionsliding windowspatio-temporal features
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