ML Anthology

Multiperspective Thermal IR and Video Arrays for 3D Body Tracking and Driver Activity Analysis

Shinko Y. Cheng, Sangho Park, Mohan M. Trivedi
CVPRW 2005 pp. 3
doi:10.1109/CVPR.2005.500 /cvprw/2005/cheng2005cvprw-multiperspective/

Abstract

This paper presents a multi-perspective (i.e., four camera views) multi-modal (i.e., thermal infrared and color) video based system for robust and real-time 3D tracking of important body parts. The multi-perspective characteristics of the system provides 3Dtrajectory of the body parts, while the multi-modal characteristics of the system provides robustness and reliability of feature detection and tracking. The application context for this research is that of intelligent vehicles and driver assistance systems. Experimental results demonstrate effectiveness of the proposed system.

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Cite

Text

Cheng et al. "Multiperspective Thermal IR and Video Arrays for 3D Body Tracking and Driver Activity Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2005. doi:10.1109/CVPR.2005.500

Markdown

[Cheng et al. "Multiperspective Thermal IR and Video Arrays for 3D Body Tracking and Driver Activity Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2005.](https://mlanthology.org/cvprw/2005/cheng2005cvprw-multiperspective/) doi:10.1109/CVPR.2005.500

BibTeX

@inproceedings{cheng2005cvprw-multiperspective,
  title     = {{Multiperspective Thermal IR and Video Arrays for 3D Body Tracking and Driver Activity Analysis}},
  author    = {Cheng, Shinko Y. and Park, Sangho and Trivedi, Mohan M.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2005},
  pages     = {3},
  doi       = {10.1109/CVPR.2005.500},
  url       = {https://mlanthology.org/cvprw/2005/cheng2005cvprw-multiperspective/}
}