ML Anthology

Incremental Recognition of Pedestrians from Image Sequences

Karl Rohr
CVPR 1993 pp. 8-13
doi:10.1109/CVPR.1993.341008 /cvpr/1993/rohr1993cvpr-incremental/

Abstract

An approach that uses a volume model consisting of cylinders for model-based recognition of pedestrians in real-world images is presented. The human body is represented by a volume model, and medical motion data are used for simulating the movement of walking. This knowledge is exploited to determine the 3-D position, as well as the posture of an observed person. By applying a Kalman filter, the model parameters in consecutive images are incrementally estimated. The approach is tested on real image data.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Rohr. "Incremental Recognition of Pedestrians from Image Sequences." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993. doi:10.1109/CVPR.1993.341008

Markdown

[Rohr. "Incremental Recognition of Pedestrians from Image Sequences." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1993.](https://mlanthology.org/cvpr/1993/rohr1993cvpr-incremental/) doi:10.1109/CVPR.1993.341008

BibTeX

@inproceedings{rohr1993cvpr-incremental,
  title     = {{Incremental Recognition of Pedestrians from Image Sequences}},
  author    = {Rohr, Karl},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1993},
  pages     = {8-13},
  doi       = {10.1109/CVPR.1993.341008},
  url       = {https://mlanthology.org/cvpr/1993/rohr1993cvpr-incremental/}
}