ML Anthology

Tracking People and Recognizing Their Activities

Deva Ramanan, David A. Forsyth, Andrew Zisserman
CVPR 2005 pp. 1194
doi:10.1109/CVPR.2005.353 /cvpr/2005/ramanan2005cvpr-tracking/

Abstract

We present a system for automatic people tracking and activity recognition. Our basic approach to people-tracking is to build an appearance model for the person in the video. The video illustrates our method of using a stylized-pose detector. Our system builds a model of limb appearance from those sparse stylized detections. Our algorithm then reprocesses the video, using the learned appearance models to find people in unrestricted configuration. We can use our tracker to recover 3D configurations and activity labels. We assume we have a motion capture library where the 3D poses have been labeled offline with activity descriptions.

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Cite

Text

Ramanan et al. "Tracking People and Recognizing Their Activities." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.353

Markdown

[Ramanan et al. "Tracking People and Recognizing Their Activities." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/ramanan2005cvpr-tracking/) doi:10.1109/CVPR.2005.353

BibTeX

@inproceedings{ramanan2005cvpr-tracking,
  title     = {{Tracking People and Recognizing Their Activities}},
  author    = {Ramanan, Deva and Forsyth, David A. and Zisserman, Andrew},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2005},
  pages     = {1194},
  doi       = {10.1109/CVPR.2005.353},
  url       = {https://mlanthology.org/cvpr/2005/ramanan2005cvpr-tracking/}
}