Motion detection and segmentation using image mosaics

Proposes 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 (autoregressive) 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 mosaicking strategy. Our algorithms work in real time, require no user intervention, and facilitate high-quality video transmission at low bandwidths.