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Carnegie Mellon Robotics Institute

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Abstract

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.

Keywords

Motion Detection, Image Mosaics, Videoconferencing

Notes

Number of pages: 4

Text Reference

Kiran Bhat, Mahesh Saptharishi, and Pradeep Khosla, "Motion Detection and Segmentation Using Image Mosaics," IEEE International Conference on Multimedia and Expo, July, 2000, pp. 1577-1580.

BibTeX Reference

@inproceedings{Bhat_2000_3416,
   author = "Kiran Bhat and Mahesh Saptharishi and Pradeep Khosla",
   title = "Motion Detection and Segmentation Using Image Mosaics",
   booktitle = "IEEE International Conference on Multimedia and Expo",
   pages = "1577-1580",
   month = "July",
   year = "2000",
   volume = "3",
}

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