A Convolutional Neural Network Hand Tracker

NeurIPS 1994 pp. 901-908

/neurips/1994/nowlan1994neurips-convolutional/

Abstract

We describe a system that can track a hand in a sequence of video frames and recognize hand gestures in a user-independent manner. The system locates the hand in each video frame and determines if the hand is open or closed. The tracking system is able to track the hand to within ±10 pixels of its correct location in 99.7% of the frames from a test set containing video sequences from 18 dif(cid:173) ferent individuals captured in 18 different room environments. The gesture recognition network correctly determines if the hand being tracked is open or closed in 99.1 % of the frames in this test set . The system has been designed to operate in real time with existing hardware.

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Cite

Text

Nowlan and Platt. "A Convolutional Neural Network Hand Tracker." Neural Information Processing Systems, 1994.

Markdown

[Nowlan and Platt. "A Convolutional Neural Network Hand Tracker." Neural Information Processing Systems, 1994.](https://mlanthology.org/neurips/1994/nowlan1994neurips-convolutional/)

BibTeX

@inproceedings{nowlan1994neurips-convolutional,
  title     = {{A Convolutional Neural Network Hand Tracker}},
  author    = {Nowlan, Steven J. and Platt, John C.},
  booktitle = {Neural Information Processing Systems},
  year      = {1994},
  pages     = {901-908},
  url       = {https://mlanthology.org/neurips/1994/nowlan1994neurips-convolutional/}
}