Facial micro-expressions recognition using high speed camera and 3D-gradient descriptor
Abstract
Facial micro-expressions were proven to be an important behaviour source for hostile intent and danger demeanour detection. In this paper, we present a novel approach for facial micro-expressions recognition in video sequences. First, 200 frame per second (fps) high speed camera is used to capture the face. Second, the face is divided to specific regions, then the motion in each region is recognized based on 3D-Gradients orientation histogram descriptor. For testing this approach, we create a new dataset of facial micro-expressions, that was manually tagged as a ground truth, using a high speed camera. In this work, we present recognition results of 13 different micro-expressions. (6 pages)
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Before the publication of CASME and SMIC in 2013, methods were usually trained with posed non-public data.
“Before the publication of the CASME and the SMIC dataset in 2013, methods were usually trained with posed non-public data [245], [246], [248].”
From Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications (2016) · cites this paper as [248]
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References 13 · Cited by 312
- Authors
- Polikovsky, S., Kameda, Y., & Ohta, Y.
- Affiliations
- University of Tsukuba (JP)
- Venue
- 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP 2009)
- Publisher
- IET
- Published
- 2009
- Pages
- P16-P16
- OpenAlex
- W2538953432
- Cited by
- 312
- References
- 13
- Citations by year
- 2026: 5 · 2025: 23 · 2024: 25 · 2023: 33 · 2022: 32 · 2021: 30 · 2020: 28 · 2019: 25 · 2018: 29 · 2017: 20 · 2016: 20 · 2015: 17 · 2014: 9 · 2013: 6 · 2012: 5
- FWCI
- 5.20
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Imaging for Crime Detection and Prevention (ICDP) (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Keywords
- facial micro-expressions, micro-expression recognition, high-speed camera, histogram of oriented gradients, threat detection
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