MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group Settings

September 19, 2023 · Entered Twilight · 🏛 ACM Multimedia

Repo contents: Bimodal_fusion.ipynb, Code, README.md, transformers.ipynb, trimodal_fusion.ipynb, video_preprocessing_and_dct_videos_formation.py

Authors Surbhi Madan, Rishabh Jain, Gulshan Sharma, Ramanathan Subramanian, Abhinav Dhall arXiv ID 2309.10765 Category cs.CV: Computer Vision Cross-listed cs.HC, cs.MM Citations 5 Venue ACM Multimedia Repository https://github.com/surbhimadan92/MAGIC-TBR ⭐ 3 Last Checked 1 month ago

Abstract

Bodily behavioral language is an important social cue, and its automated analysis helps in enhancing the understanding of artificial intelligence systems. Furthermore, behavioral language cues are essential for active engagement in social agent-based user interactions. Despite the progress made in computer vision for tasks like head and body pose estimation, there is still a need to explore the detection of finer behaviors such as gesturing, grooming, or fumbling. This paper proposes a multiview attention fusion method named MAGIC-TBR that combines features extracted from videos and their corresponding Discrete Cosine Transform coefficients via a transformer-based approach. The experiments are conducted on the BBSI dataset and the results demonstrate the effectiveness of the proposed feature fusion with multiview attention. The code is available at: https://github.com/surbhimadan92/MAGIC-TBR