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道路监控系统中非同步相机时间校正方法

, PP. 118-126

Keywords: 智能交通系统,道路监控系统,机器视觉,非同步相机,时间校正,极几何,对应帧匹配

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Abstract:

为了提高交通事件还原的准确性,提出一种基于双目极几何关系的高精度交通现场三维重建时间校正方法。分析了多个非同步相机帧序列,建立了非同步相机时间校正模型。为了校正多部非同步相机的时间误差,采用极几何约束和点到极线距离最小约束准则,进行对应帧时间同步匹配。由2部非同步相机组成拍摄系统,进行对应帧时间匹配误差分析,估算视频序列起始帧时间误差,实现高精度动态场景复原。通过闪烁LED灯的移动模拟高速移动的车辆,估计时间误差范围。为了进一步验证方法在实际道路环境中的有效性,利用4部相机拍摄自由落体的皮球视频序列,分别使用相似度判别的时间校正方法和本文方法进行对比试验。试验结果表明当相机的曝光时间为1/30s,高速移动的发光源闪烁周期为6.59ms时,视频序列的起始帧时间误差范围为0~6.59ms,在这个误差范围内的对应帧数达到88.1%以上;与相似度判别的时间校正方法相比,本文方法效果较好;与几种传统时间校正方法相比,本文方法显著提高了道路监控系统中非同步相机对应帧时间误差匹配和三维重建的精确度。

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