Scene Modeling for Wide Area Surveillance and Image Synthesis

Mittal, Anurag; Huttenlocher, Daniel P.

doi:10.1109/CVPR.2000.854767

Scene Modeling for Wide Area Surveillance and Image Synthesis

Anurag Mittal, Daniel P. Huttenlocher

CVPR 2000 pp. 2160-2167

doi:10.1109/CVPR.2000.854767 /cvpr/2000/mittal2000cvpr-scene/

Abstract

We present a method for modeling a scene that is observed by a moving camera, where only a portion of the scene is visible at any time. This method uses mixture models to represent pixels in a panoramic view, and to construct a "background image" that contains only static (non-moving) parts of the scene. The method can be used to reliably detect moving objects in a video sequence, detect patterns of activity over a wide field of view, and remove moving objects from a video or panoramic mosaic. The method also yields improved results in detecting moving objects and in constructing mosaics in the presence of moving objects, when compared with techniques that are not based on scene modeling. We present examples illustrating the results.

CVPR Semantic Scholar

Cite

Text

Mittal and Huttenlocher. "Scene Modeling for Wide Area Surveillance and Image Synthesis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.854767

Markdown

[Mittal and Huttenlocher. "Scene Modeling for Wide Area Surveillance and Image Synthesis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/mittal2000cvpr-scene/) doi:10.1109/CVPR.2000.854767

BibTeX

@inproceedings{mittal2000cvpr-scene,
  title     = {{Scene Modeling for Wide Area Surveillance and Image Synthesis}},
  author    = {Mittal, Anurag and Huttenlocher, Daniel P.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2000},
  pages     = {2160-2167},
  doi       = {10.1109/CVPR.2000.854767},
  url       = {https://mlanthology.org/cvpr/2000/mittal2000cvpr-scene/}
}