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Non-Volume Preserving-based Fusion to Group-Level Emotion Recognition on Crowd Videos
[article]
2022
arXiv
pre-print
Group-level emotion recognition (ER) is a growing research area as the demands for assessing crowds of all sizes are becoming an interest in both the security arena as well as social media. This work extends the earlier ER investigations, which focused on either group-level ER on single images or within a video, by fully investigating group-level expression recognition on crowd videos. In this paper, we propose an effective deep feature level fusion mechanism to model the spatial-temporal
arXiv:1811.11849v4
fatcat:2hkn363lxfecjcajiv7smxabym