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Physics-Based Cooperative Sensor Fusion for Moving Object Detection

Sohail Nadimi, Bir Bhanu
CVPR 2004 pp. 108
doi:10.1109/CVPR.2004.418 /cvpr/2004/nadimi2004cvpr-physics/

Abstract

A robust moving object detection system for an outdoor scene must be able to handle adverse illumination conditions such as sudden illumination changes or lack of illumination in a scene. This is of particular importance for scenarios where active illumination cannot be relied upon. Utilizing infrared and video sensors, we propose a novel sensor fusion algorithm that automatically adapts to the environmental changes that effect sensor measurements. The adaptation is done through a new cooperative coevolutionary algorithm that fuses the scene contextual and statistical information through a physics-based method. Our sensor fusion algorithm maintains high detection rates under a variety of conditions and sensor failure. The results are shown for a full 24 hour diurnal cycle.

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Cite

Text

Nadimi and Bhanu. "Physics-Based Cooperative Sensor Fusion for Moving Object Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.418

Markdown

[Nadimi and Bhanu. "Physics-Based Cooperative Sensor Fusion for Moving Object Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/nadimi2004cvpr-physics/) doi:10.1109/CVPR.2004.418

BibTeX

@inproceedings{nadimi2004cvpr-physics,
  title     = {{Physics-Based Cooperative Sensor Fusion for Moving Object Detection}},
  author    = {Nadimi, Sohail and Bhanu, Bir},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {108},
  doi       = {10.1109/CVPR.2004.418},
  url       = {https://mlanthology.org/cvpr/2004/nadimi2004cvpr-physics/}
}