期刊文献+

一种基于图像金字塔光流的特征跟踪方法 被引量:35

An Image Pyramid-Based Feature Detection and Tracking Algorithm
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摘要 推导并实现了一种基于图像金字塔光流的角点特征跟踪方法。实验结果表明,该方法在不同运动幅度和运动方式下的检测跟踪性能较好,能够有效地应用于长序列图像的特征跟踪。 An image pyramid-based feature detection and tracking algorithm is dedaced and implemented. The experimental results prove that it performs well when subject to different magnitudes and types of motion, it is more robust and can be effectively applied in feature detection and tracking through long image sequences.
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2007年第8期680-683,共4页 Geomatics and Information Science of Wuhan University
基金 国家自然科学基金资助项目(40301040)
关键词 图像金字塔 光流 特征跟踪 image pyramid optical flow feature tracking
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参考文献7

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引证文献35

二级引证文献133

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