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Tracking Ships from Fast Moving Camera through Image Registration

机译:通过图像配准跟踪从快速移动相机拍摄的船只

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This paper presents an algorithm that detects and tracks marine vessels in video taken by a nonstationary camera installed on an untethered buoy. The video is characterized by large inter-frame motion of the camera, cluttered background, and presence of compression artifacts. Our approach performs segmentation of ships in individual frames processed with a color-gradient filter. The threshold selection is based on the histogram of the search region. Tracking of ships in a sequence is enabled by registering the horizon images in one coordinate system and by using a multihypothesis framework. Registration step uses an area-based technique to correlate a processed strip of the image over the found horizon line. The results of evaluation of detection, localization, and tracking of the ships show significant increase in performance in comparison to the previously used technique.
机译:本文提出了一种算法,该算法可以检测并跟踪安装在非系绳浮标上的非平稳摄像机拍摄的视频中的船舶。该视频的特点是摄像机的帧间运动较大,背景杂乱并且存在压缩伪像。我们的方法对使用颜色渐变滤镜处理的单个帧中的船只进行分割。阈值选择基于搜索区域的直方图。通过将地平线图像注册在一个坐标系中并使用多假设框架,可以实现按顺序跟踪船舶。配准步骤使用基于区域的技术来在找到的地平线上关联图像的已处理条带。与先前使用的技术相比,对船舶的探测,定位和跟踪进行评估的结果显示出性能的显着提高。

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