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CVPR
1998
IEEE

Using Adaptive Tracking to Classify and Monitor Activities in a Site

9 years 11 months ago
Using Adaptive Tracking to Classify and Monitor Activities in a Site
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 su cient 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 di erent object classes, and to detect unusual activities. 1 A motivating scenario Our goal is a vision system that monitors activity in a site over extended periods of time, i.e., patterns of motion and interaction demonstrated by objects in the site. The system should provide statistical descriptions of typical activity patterns, e.g., normal vehicular volume or normal pedestrian tra c paths for a given time of day it should detect unusual events, by spotting activitie...
W. Eric L. Grimson, Chris Stauffer, R. Romano, L.
Added 12 Oct 2009
Updated 30 Oct 2009
Type Conference
Year 1998
Where CVPR
Authors W. Eric L. Grimson, Chris Stauffer, R. Romano, L. Lee
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