Name
Title | ||
|---|---|---|
A main directional maximal difference analysis for spotting facial movements from long-term videos. |
Abstract | ||
|---|---|---|
There is an increasing interests in micro-expression researches. Spotting micro-expressions in long-term videos is very important, not only for providing clues for lie detection, but also for reducing the labor required to collect micro-expression data. However, little progress has been made in spotting micro-expressions. In this paper, we propose a Main Directional Maximal Difference (MDMD) Analysis for micro-expression spotting. MDMD uses the magnitude maximal difference in the main direction of optical flow features to spot facial movements, including micro-expressions. Using block structured facial regions, MDMD obtains more accurate features of movement of expressions for automatically spotting micro-expressions and macro-expressions from videos. This method involves both the temporal and spatial locations of face movements. Evaluations using the CAS(ME)2 database containing micro-expressions and macro-expressions show that MDMD is more robust than some state-of-the-art algorithms. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.neucom.2016.12.034 | Neurocomputing |
Keywords | Field | DocType |
Micro-expression recognition,Macro-expression,Micro-expression spotting,Optical flow | Computer vision,Expression (mathematics),Pattern recognition,Computer science,Lie detection,Artificial intelligence,Optical flow,Spotting | Journal |
Volume | Issue | ISSN |
230 | C | 0925-2312 |
Citations | PageRank | References |
10 | 0.46 | 17 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sujing Wang | 1 | 690 | 37.65 |
| Shuhang Wu | 2 | 10 | 0.46 |
| Xingsheng Qian | 3 | 10 | 0.46 |
| Jingxiu Li | 4 | 10 | 0.46 |
| Xiaolan Fu | 5 | 786 | 60.72 |