红外运动目标的改进三帧差分算法

X. Luo, Ke-bin Jia, Pengyu Liu, Daoquan Xiong, Xiuchen Tian
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引用次数: 2

摘要

提出了一种改进的三帧差分算法。该算法包含两个子算法——双层三帧差分算法,以及历史定位数据统计与分析算法。双层三帧差分算法可以填补不完整的部分,历史位置数据统计分析算法可以消除噪声。选择两个示例,分别包含一个目标(大小约为10*40像素)和两个目标(大小约为80*160像素)。实验结果表明,改进后的三帧差分算法能够很好地解决传统单层三帧差分算法存在的问题,并得到准确的结果。
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Improved Three-Frame-Difference Algorithm for Infrared Moving Target
An improved three-frame-difference algorithm is proposed. The algorithm contains two sub-algorithm‐‐‐‐double-layer three-frame-difference algorithm, and history location data statistics and analysis algorithm. Double-layer three-frame-difference algorithm can fill the incomplete parts, and the history location data statistics and analysis algorithm can eliminate noise. Two examples containing one target (with size about 10*40 pixels) and two targets (with size about 80*160 pixels) respectively are chosen. Results of them prove that the improved three-frame-difference algorithm can resolve the problems of traditional one-layer three-frame-difference algorithm, and get the accurate results.
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