Hand Segmentation Using Learning-Based Prediction and Verification for Hand Sign Recognition

Cui, Yuntao; Weng, John (Juyang)

doi:10.1109/CVPR.1996.517058

Hand Segmentation Using Learning-Based Prediction and Verification for Hand Sign Recognition

Yuntao Cui, John (Juyang) Weng

CVPR 1996 pp. 88-93

doi:10.1109/CVPR.1996.517058 /cvpr/1996/cui1996cvpr-hand/

Abstract

This paper presents a prediction-and-verification segmentation scheme wing attention images from multiple fixations. A major advantage of this scheme is that it can handle a large number of different deformable objects presented in complex backgrounds. The scheme is also relatively efficient since the segmentation is guided by the past knowledge through a prediction-and-verification scheme. The system has been tested to segment hands in the sequences of intensity images, where each sequence represents a hand sign. The experimental result showed a 95% correct segmentation rate with a 3% false rejection rate.

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Cite

Text

Cui and Weng. "Hand Segmentation Using Learning-Based Prediction and Verification for Hand Sign Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996. doi:10.1109/CVPR.1996.517058

Markdown

[Cui and Weng. "Hand Segmentation Using Learning-Based Prediction and Verification for Hand Sign Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1996.](https://mlanthology.org/cvpr/1996/cui1996cvpr-hand/) doi:10.1109/CVPR.1996.517058

BibTeX

@inproceedings{cui1996cvpr-hand,
  title     = {{Hand Segmentation Using Learning-Based Prediction and Verification for Hand Sign Recognition}},
  author    = {Cui, Yuntao and Weng, John (Juyang)},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1996},
  pages     = {88-93},
  doi       = {10.1109/CVPR.1996.517058},
  url       = {https://mlanthology.org/cvpr/1996/cui1996cvpr-hand/}
}