ML Anthology

Application of a Hybrid Tracking Algorithm to Motion Analysis

M. J. Fletcher, Kevin Warwick, Richard J. Mitchell
CVPR 1991 pp. 84-89
doi:10.1109/CVPR.1991.139666 /cvpr/1991/fletcher1991cvpr-application/

Abstract

An algorithm for tracking multiple feature positions in a dynamic image sequence is presented. This is achieved using a combination of two trajectory-based methods, with the resulting hybrid algorithm exhibiting the advantages of both. An optimizing exchange algorithm is described which enables short feature paths to be tracked without prior knowledge of the motion being studied. The resulting partial trajectories are then used to initialize a fast predictor algorithm which is capable of rapidly tracking multiple feature paths. As this predictor algorithm becomes tuned to the feature positions being tracked, it is shown how the location of occluded or poorly detected features can be predicted. The results of applying this tracking algorithm to data obtained from real-world scenes are then presented.

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Cite

Text

Fletcher et al. "Application of a Hybrid Tracking Algorithm to Motion Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139666

Markdown

[Fletcher et al. "Application of a Hybrid Tracking Algorithm to Motion Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/fletcher1991cvpr-application/) doi:10.1109/CVPR.1991.139666

BibTeX

@inproceedings{fletcher1991cvpr-application,
  title     = {{Application of a Hybrid Tracking Algorithm to Motion Analysis}},
  author    = {Fletcher, M. J. and Warwick, Kevin and Mitchell, Richard J.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {84-89},
  doi       = {10.1109/CVPR.1991.139666},
  url       = {https://mlanthology.org/cvpr/1991/fletcher1991cvpr-application/}
}