ML Anthology

This Hand Is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video

Stefan Lee, Sven Bambach, David J. Crandall, John M. Franchak, Chen Yu
CVPRW 2014 pp. 557-564
doi:10.1109/CVPRW.2014.86 /cvprw/2014/lee2014cvprw-hand/

Abstract

Egocentric cameras are becoming more popular, introducing increasing volumes of video in which the biases and framing of traditional photography are replaced with those of natural viewing tendencies. This paradigm enables new applications, including novel studies of social interaction and human development. Recent work has focused on identifying the camera wearer's hands as a first step towards more complex analysis. In this paper, we study how to disambiguate and track not only the observer's hands but also those of social partners. We present a probabilistic framework for modeling paired interactions that incorporates the spatial, temporal, and appearance constraints inherent in egocentric video. We test our approach on a dataset of over 30 minutes of video from six pairs of subjects.

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Cite

Text

Lee et al. "This Hand Is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2014. doi:10.1109/CVPRW.2014.86

Markdown

[Lee et al. "This Hand Is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2014.](https://mlanthology.org/cvprw/2014/lee2014cvprw-hand/) doi:10.1109/CVPRW.2014.86

BibTeX

@inproceedings{lee2014cvprw-hand,
  title     = {{This Hand Is My Hand: A Probabilistic Approach to Hand Disambiguation in Egocentric Video}},
  author    = {Lee, Stefan and Bambach, Sven and Crandall, David J. and Franchak, John M. and Yu, Chen},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2014},
  pages     = {557-564},
  doi       = {10.1109/CVPRW.2014.86},
  url       = {https://mlanthology.org/cvprw/2014/lee2014cvprw-hand/}
}