| dc.contributor.author | DAHYOT, ROZENN | |
| dc.date | 2006 | en |
| dc.date.accessioned | 2006-10-14T12:42:09Z | |
| dc.date.available | 2006-10-14T12:42:09Z | |
| dc.date.created | 1 September | en |
| dc.date.issued | 2006 | en |
| dc.date.submitted | 2006 | en |
| dc.identifier.citation | Rozenn Dahyot, Unsupervised Camera Motion Estimation and Moving Object Detection in Videos, Irish Machine Vision and Image Processing Conference, DCU Dublin, 1 September, 2006, pp102 - 109 | en |
| dc.identifier.other | Y | en |
| dc.description.abstract | In this article, we consider the robust estimation of a location parameter using Mestimators.
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. | en |
| dc.format.extent | 109 | en |
| dc.format.extent | 910860 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | en |
| dc.rights | Y | en |
| dc.subject | M-estimation | en |
| dc.subject | Video analysis | en |
| dc.subject | Camera motion | en |
| dc.subject | Moving object detection | en |
| dc.subject | Robust estimation | en |
| dc.title | Unsupervised Camera Motion Estimation and Moving Object Detection in Videos | en |
| dc.title.alternative | Irish Machine Vision and Image Processing Conference | en |
| dc.type | Conference Paper | en |
| dc.type.supercollection | scholarly_publications | en |
| dc.type.supercollection | refereed_publications | en |
| dc.identifier.rssinternalid | 39854 | |
| dc.identifier.uri | http://hdl.handle.net/2262/2058 | |
