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.

Preview

Download (910kB) | Preview

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
URI:	Organisation
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

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads