Bfh03_03.mp4 -
Authors: Amanda Duarte, et al. Venue: CVPR 2021
Specialized methods using Multi-Channel MKL for detecting characteristics in video sequences. How2Sign Dataset BFH03_03.mp4
Other related research, such as the , also uses a BFH subset for evaluating the accuracy of 3D human meshes. Authors: Amanda Duarte, et al
This paper introduces the dataset containing over 80 hours of instructional videos, including the BFH (Body-Face-Hands) keypoint annotations mentioned in your file name. You can access more information via the How2Sign Project Page . Dataset Context This paper introduces the dataset containing over 80
The video file is a specific clip from the How2Sign dataset , a large-scale multimodal collection of American Sign Language (ASL) videos designed for computer vision research. Primary Research Paper
are specialized subsets that include these detailed pose estimations for use in tasks like sign language translation and human pose regression.
Related Research at BFH (Bern University of Applied Sciences)
