ML Anthology

Real-Time Wide Area Multi-Camera Stereo Tracking

Tao Zhao, Manoj Aggarwal, Rakesh Kumar, Harpreet S. Sawhney
CVPR 2005 pp. 976-983
doi:10.1109/CVPR.2005.296 /cvpr/2005/zhao2005cvpr-real/

Abstract

We present a fully integrated real-time system to track humans with a network of stereo sensors over a wide area. The processing includes single camera tracking and multi-camera fusion. Each single camera detects and tracks humans in its own view and a multi-camera fusion module combines all the local tracks of the same human into a global track. We propose stereo segmentation and tracking techniques to handle multiple humans moving in groups in cluttered environments. We have developed a ground-based fusion method for camera handoff using space-time constraint. We show results and performance evaluation on very challenging data from a 12-camera system.

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Cite

Text

Zhao et al. "Real-Time Wide Area Multi-Camera Stereo Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005. doi:10.1109/CVPR.2005.296

Markdown

[Zhao et al. "Real-Time Wide Area Multi-Camera Stereo Tracking." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2005.](https://mlanthology.org/cvpr/2005/zhao2005cvpr-real/) doi:10.1109/CVPR.2005.296

BibTeX

@inproceedings{zhao2005cvpr-real,
  title     = {{Real-Time Wide Area Multi-Camera Stereo Tracking}},
  author    = {Zhao, Tao and Aggarwal, Manoj and Kumar, Rakesh and Sawhney, Harpreet S.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2005},
  pages     = {976-983},
  doi       = {10.1109/CVPR.2005.296},
  url       = {https://mlanthology.org/cvpr/2005/zhao2005cvpr-real/}
}