A Novel Approach to Real-Time Motion Detection
Abstract
A real-time scheme is introduced that meets a need for fast, reliable, multiple-target motion detection without accurate object velocity or structure measurements. A multiresolution approach decomposes images into a pyramid with several spatial frequency bands to selectively detect motion of interest. Multiple moving targets are detected using a multiple window, coarse-to-fine focus of attention scheme to reconstruct motion energy and search for targets. Real-time sensor motion (translation and rotation) compensations use hierarchical correlation and minimum perturbation. Results are shown for multiple moving targets in FLIR (forward-looking infrared) image sequences from both stationary and moving sensors.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Lee and Lin. "A Novel Approach to Real-Time Motion Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988. doi:10.1109/CVPR.1988.196315Markdown
[Lee and Lin. "A Novel Approach to Real-Time Motion Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1988.](https://mlanthology.org/cvpr/1988/lee1988cvpr-novel/) doi:10.1109/CVPR.1988.196315BibTeX
@inproceedings{lee1988cvpr-novel,
title = {{A Novel Approach to Real-Time Motion Detection}},
author = {Lee, James S. J. and Lin, Charlotte},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1988},
pages = {730-735},
doi = {10.1109/CVPR.1988.196315},
url = {https://mlanthology.org/cvpr/1988/lee1988cvpr-novel/}
}