TY  - JOUR
AU  - Wenwen Fu
AU  - Zhihong An
AU  - Wendong Huang
AU  - Haoran Sun
AU  - Wenjuan Gong
AU  - Jordi Gonzalez
PY  - 2023//
TI  - A Spatio-Temporal Spotting Network with Sliding Windows for Micro-Expression Detection
T2  - ELEC
JO  - Electronics
SP  - 3947
VL  - 12
IS  - 18
KW  - micro-expression spotting
KW  - sliding window
KW  - key frame extraction
N2  - Micro-expressions reveal underlying emotions and are widely applied in political psychology, lie detection, law enforcement and medical care. Micro-expression spotting aims to detect the temporal locations of facial expressions from video sequences and is a crucial task in micro-expression recognition. In this study, the problem of micro-expression spotting is formulated as micro-expression classification per frame. We propose an effective spotting model with sliding windows called the spatio-temporal spotting network. The method involves a sliding window detection mechanism, combines the spatial features from the local key frames and the global temporal features and performs micro-expression spotting. The experiments are conducted on the CAS(ME)2 database and the SAMM Long Videos database, and the results demonstrate that the proposed method outperforms the state-of-the-art method by 30.58% for the CAS(ME)2  and 23.98% for the SAMM Long Videos according to overall F-scores.
UR  - https://doi.org/10.3390/electronics12183947
N1  - ISE
ID  - Wenwen Fu2023
ER  -