Unsupervised Camera Motion Estimation and Moving Object Detection in Videos
Rozenn Dahyot · Maynooth University ePrints and eTheses Archive (Maynooth University) · 2006
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.