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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/2058

Title: Unsupervised Camera Motion Estimation and Moving Object Detection in Videos
Other Titles: Irish Machine Vision and Image Processing Conference
Author: DAHYOT, ROZENN
Keywords: M-estimation
Video analysis
Camera motion
Moving object detection
Robust estimation
Issue Date: 2006
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
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.
URI: http://hdl.handle.net/2262/2058
Appears in Collections:Computer Science (Scholarly Publications)

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