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Using adaptive tracking to classify and monitor activities in a site (1998)
| Citations: | 247 - 3 self |
BibTeX
@INPROCEEDINGS{Grimson98usingadaptive,
author = {W. E. L. Grimson and C. Stauffer and R. Romano and L. Lee},
title = {Using adaptive tracking to classify and monitor activities in a site},
booktitle = {},
year = {1998},
pages = {22--29},
publisher = {}
}
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Abstract
We describe a vision system that monitors activity in a site over extended periods of time. The system uses a distributed set of sensors to cover the site, and an adaptive tracker detects multiple moving objects in the sensors. Our hypothesis is that motion tracking is sufficient to support a range of computations about site activities. We demonstrate using the tracked motion data: to calibrate the distributed sensors, to construct rough site models, to classify detected objects, to learn common patterns of activity for different object classes, and to detect unusual activities.
