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Lin Wu

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Proceedings Article | 30 October 2009 Paper

A fast feature-based video mosaic

Wu Lin, Jingxin Hong, Hao Zhang, Lin Li

Proceedings Volume 7495, 749549 (2009) https://doi.org/10.1117/12.832759

KEYWORDS: Video, Video surveillance, Panoramic photography, 3D video compression, Motion estimation, Feature extraction, Video compression, Image filtering, Gaussian filters, Detection and tracking algorithms

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This paper presents a fast method to construct an entire panorama from video sequence. Firstly, SURF, which has good performance in computation time and accuracy, is used to detect features for frames from video streams. Secondly, a novel matching scheme based on hash mapping and the ratio between the Euclidean distance to the nearest and the second nearest neighbors is proposed to match SURF features. As there may be some error matchings generated above, especially in the presence of objects moving, a RANSAC technique is applied to eliminate outliers. Besides, in order to avoid mosaicing all video frames which typically contains significant redundancy, we adaptively identify key frames based on the number of tracked feature points. Finally, the wide field of video image is got by stitching the key frames mapped to a reference coordinate system. Experimental results demonstrate the fast-speed and superior quality of this proposed method.

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