ML Anthology

Detecting and Tracking Human Face and Eye Using Space-Varying Sensor and an Active Vision Head

Mohammed Yeasin, Yasuo Kuniyoshi
CVPR 2000 pp. 2168-2173
doi:10.1109/CVPR.2000.854770 /cvpr/2000/yeasin2000cvpr-detecting/

Abstract

We have developed a system for detecting and tracking human face and eye in an unstructured environment. We adopt a biologically plausible retinally connected neural network architecture and integrate it with an active vision system. While the active vision system tracks the object moving in real time, the neural network detects the face and eye location from the video stream at a slower rate. The paper provides a systematic way of creating and selecting examples for training the network by exploring the link between theory and practice. Experimental results on a real sequence of images from a space-varying sensor depicts the performance of the system.

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Cite

Text

Yeasin and Kuniyoshi. "Detecting and Tracking Human Face and Eye Using Space-Varying Sensor and an Active Vision Head." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.854770

Markdown

[Yeasin and Kuniyoshi. "Detecting and Tracking Human Face and Eye Using Space-Varying Sensor and an Active Vision Head." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/yeasin2000cvpr-detecting/) doi:10.1109/CVPR.2000.854770

BibTeX

@inproceedings{yeasin2000cvpr-detecting,
  title     = {{Detecting and Tracking Human Face and Eye Using Space-Varying Sensor and an Active Vision Head}},
  author    = {Yeasin, Mohammed and Kuniyoshi, Yasuo},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2000},
  pages     = {2168-2173},
  doi       = {10.1109/CVPR.2000.854770},
  url       = {https://mlanthology.org/cvpr/2000/yeasin2000cvpr-detecting/}
}