ML Anthology

Recognizing Daily Activities in Realistic Environments Through Depth-Based User Tracking and Hidden Conditional Random Fields for MCI/AD Support

Dimitrios Giakoumis, Georgios Stavropoulos, Dimitrios Kikidis, Manolis Vasileiadis, Konstantinos Votis, Dimitrios Tzovaras
ECCV 2014 pp. 822-838
doi:10.1007/978-3-319-16199-0_57 /eccv/2014/giakoumis2014eccv-recognizing/

Abstract

This paper presents a novel framework for the automatic recognition of Activities of Daily Living (ADLs), such as cooking, eating, dishwashing and watching TV, based on depth video processing and Hidden Conditional Random Fields (HCRFs). Depth video is provided by low-cost RGB-D sensors unobtrusively installed in the house. The user’s location, posture, as well as point cloud -based features related to gestures are extracted; a standing/sitting posture detector, as well as novel features expressing head and hand gestures are introduced herein. To model the target activities, we employed discriminative HCRFs and compared them to HMMs. Through experimental evaluation, HCRFs outperformed HMMs in location trajectories-based ADL detection. By fusing trajectories data with posture and the proposed gesture features, ADL detection performance was found to further improve, leading to recognition rates at the level of 90.5 % for five target activities in a naturalistic home environment.

PDF ECCV Semantic Scholar

Cite

Text

Giakoumis et al. "Recognizing Daily Activities in Realistic Environments Through Depth-Based User Tracking and Hidden Conditional Random Fields for MCI/AD Support." European Conference on Computer Vision, 2014. doi:10.1007/978-3-319-16199-0_57

Markdown

[Giakoumis et al. "Recognizing Daily Activities in Realistic Environments Through Depth-Based User Tracking and Hidden Conditional Random Fields for MCI/AD Support." European Conference on Computer Vision, 2014.](https://mlanthology.org/eccv/2014/giakoumis2014eccv-recognizing/) doi:10.1007/978-3-319-16199-0_57

BibTeX

@inproceedings{giakoumis2014eccv-recognizing,
  title     = {{Recognizing Daily Activities in Realistic Environments Through Depth-Based User Tracking and Hidden Conditional Random Fields for MCI/AD Support}},
  author    = {Giakoumis, Dimitrios and Stavropoulos, Georgios and Kikidis, Dimitrios and Vasileiadis, Manolis and Votis, Konstantinos and Tzovaras, Dimitrios},
  booktitle = {European Conference on Computer Vision},
  year      = {2014},
  pages     = {822-838},
  doi       = {10.1007/978-3-319-16199-0_57},
  url       = {https://mlanthology.org/eccv/2014/giakoumis2014eccv-recognizing/}
}