Registration of IR and EO Video Sequences based on Frame Difference

Zheng Liu, R. Laganière
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引用次数: 3

Abstract

Multi-modal imaging sensors are employed in advanced surveillance systems in the recent years. The performance of surveillance systems can be enhanced by using information beyond the visible spectrum, for example, infrared imaging. To ensure correctness of low- or high-level processing, multi-modal imagers must be fully calibrated or registered. In this paper, an algorithm is proposed to register the video sequences acquired by an infrared and an electro-optical (CCD) camera. The registration method is based on the silhouette extracted by differencing adjacent frames. This difference is found by an image structural similarity measurement. Initial registration is implemented by tracing the top head points in consecutive frames. Finally, an optimization procedure to maximize mutual information is employed to refine the registration results.
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基于帧差的IR和EO视频序列配准
近年来,多模态成像传感器被广泛应用于先进的监控系统中。监视系统的性能可以通过使用可见光谱以外的信息来增强,例如红外成像。为了确保低层或高层处理的正确性,必须对多模态成像仪进行完全校准或注册。本文提出了一种对红外摄像机和光电摄像机采集的视频序列进行配准的算法。该配准方法是基于相邻帧的差分提取轮廓。这种差异是通过图像结构相似性测量发现的。初始注册是通过跟踪连续帧中的顶头点来实现的。最后,采用互信息最大化的优化方法对配准结果进行细化。
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