基于功能的视频稳定车辆应用

IEEE International Symposium on Consumer Electronics (ISCE 2010) Pub Date : 2010-06-07 DOI:10.1109/ISCE.2010.5522727

K. Huang, Yi-Min Tsai, Chih-Chung Tsai, Liang-Gee Chen

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引用次数: 11

摘要

本文介绍了一种基于哈里斯特征和自适应分辨率的车载视频稳定方法。采用Lucas-Kanade方法对连续帧的特征点进行匹配，构建特征运动流。利用阻尼滤波器对不需要的运动进行建模，并通过提取振荡来分离整体运动。达到92%的正确率，每帧0.54秒。所提供的基准测试表明了所提方法的优越性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Feature-based video stabilization for vehicular applications

This paper describes a method to stabilize video for vehicular applications based on Harris features and adaptive resolution. Lucas-Kanade method is applied to match feature points of consecutive frames and construct the feature motion flow. A damping filer is utilized to model the unwanted motion and global motion is separated by extracting oscillation. 92% correct rate with 0.54 second per frame is achieved. The provided benchmark shows outperformance of the proposed method.

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来源期刊

IEEE International Symposium on Consumer Electronics (ISCE 2010)

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