Moving Object Segmentation Using Optical Flow and Depth Information
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Detectability of moving objects using correspondences over two and three frames
Proceedings of the 29th DAGM conference on Pattern recognition
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The estimation of camera egomotion is a well established problem in computer vision. Many approaches have been proposed based on both the discrete and the differential epipolar constraint. The discrete case is mainly used in self-calibrated stereoscopic systems, whereas the differential case deals with an unique moving camera. This article surveys several methods for mobile robot egomotion estimation covering more than 0.5 million samples using synthetic data. Results from real data are also given. The surveyed algorithms have been programmed and are available on the Internet:http://eia.udg.es/-armangue/research.