Date of Original Version

2000

Type

Conference Proceeding

Abstract or Description

We propose a motion segmentation algorithm for extracting foreground objects with a pan-tilt camera. Segmentation is achieved by spatio-temporal filtering of the scene to model the background. Temporal filtering is done by a set of modified AR (Auto-Regressive) filters which model the background statistics for a particular view of the scene. Backgrounds from different views of the pan-tilt camera are stitched together into a planar mosaic using a real-time image mosaicing strategy. Our algorithms work in real-time, require no user intervention, and facilitate high-quality video transmission at low bandwidths.

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