Group Emotion Recognition in Adverse Face Detection | IEEE Conference Publication | IEEE Xplore

Group Emotion Recognition in Adverse Face Detection

Publisher: IEEE

Abstract:

Most techniques for group emotion recognition rely on detection on faces of people and then aggregating the facial information to interpret the group emotion of a given i...View more

Abstract:

Most techniques for group emotion recognition rely on detection on faces of people and then aggregating the facial information to interpret the group emotion of a given image. However, several faces in the image may be occluded, non-frontal, or indistinguishable, i.e., too many faces in a single image (crowd). This paper focuses on such cases and investigate alternate frameworks which does not involve face detection. The developed frameworks are applied on two datasets – EmotiC and Group Affect Database 3.0 and the results are shown to be competitive with face detection (MTCNN) based approaches.
Date of Conference: 14-18 May 2019
Date Added to IEEE Xplore: 11 July 2019
ISBN Information:
Publisher: IEEE
Conference Location: Lille, France

References

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