ML Anthology

A Data Set for Quantitative Motion Analysis

Rabindranath Dutta, R. Manmatha, Lance R. Williams, Edward M. Riseman
CVPR 1989 pp. 159-164
doi:10.1109/CVPR.1989.37844 /cvpr/1989/dutta1989cvpr-data/

Abstract

The collection of image sequences for quantitative experiments in motion analysis is discussed. To assess the effectiveness of a motion algorithm it is necessary to obtain motion data with ground truth of known accuracy. The authors describe motion data collected using the imaging facilities provided by the autonomous land vehicle (ALV). A total of eight sequences of about 30 frames each were collected at five different outdoor sites using move-and-shoot and stop-and-shoot methods. For all the sequences accurate ground truth of environmental objects were determined using theodolites and a laser range finder. The camera egomotion parameters (this included both translation and rotation) were determined using a land navigation system on the ALV. Example images of the data set collected and an analysis of one of the sequences are presented.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Text

Dutta et al. "A Data Set for Quantitative Motion Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1989. doi:10.1109/CVPR.1989.37844

Markdown

[Dutta et al. "A Data Set for Quantitative Motion Analysis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1989.](https://mlanthology.org/cvpr/1989/dutta1989cvpr-data/) doi:10.1109/CVPR.1989.37844

BibTeX

@inproceedings{dutta1989cvpr-data,
  title     = {{A Data Set for Quantitative Motion Analysis}},
  author    = {Dutta, Rabindranath and Manmatha, R. and Williams, Lance R. and Riseman, Edward M.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1989},
  pages     = {159-164},
  doi       = {10.1109/CVPR.1989.37844},
  url       = {https://mlanthology.org/cvpr/1989/dutta1989cvpr-data/}
}