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Dahyot, Rozenn (2006) Unsupervised Camera Motion Estimation and Moving Object Detection in Videos. Irish Machine Vision and Image Processing conference (IMVIP 2006). pp. 102-109.
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Abstract
In this article, we consider the robust estimation of a location parameter using M-estimators. We propose here to couple this estimation with the robust scale estimate proposed in [Dahyot and Wilson, 2006]. The resulting procedure is then completely unsupervised. It is applied to camera motion estimation and moving object detection in videos.
Experimental results on different video materials show the adaptability and the accuracy
of this new robust approach.
| Item Type: | Article |
|---|---|
| Keywords: | M-estimation; camera motion; moving object detection; robust estimation; video analysis; |
| Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 15288 |
| Depositing User: | Rozenn Dahyot |
| Date Deposited: | 19 Jan 2022 13:19 |
| Journal or Publication Title: | Irish Machine Vision and Image Processing conference (IMVIP 2006) |
| Publisher: | Vision System Group |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mu.eprints-hosting.org/id/eprint/15288 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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