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Real-Time Inland CCTV Ship Tracking

机译：实时内陆CCTV船舶跟踪

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摘要

The predator algorithm is a representative pioneering work that achieves state-of-the-art performance on several popular visual tracking benchmarks and with great success when commercially applied to real-time face tracking in long-term unconstrained videos. However, there are two major drawbacks of predator algorithm when applied to inland CCTV (closed-circuit television) ship tracking. First, the LK short-termtracker within predator algorithm easily tends to drift if the target ship suffers partial or even full occlusion, mainly because the corner-points-like features employed by LK tracker are very sensitive to occlusion appearance change. Second, the cascaded detector within the predator algorithm searches for candidate objects in a predefined scale set, usually including 3-5 elements, which hampers the tracker to adapt to the potential diverse scale variations of the target ship. In this paper, we design a random projection based short-term tracker which can dramatically ease the tracking drift when the ship is under occlusion. Furthermore, a forward-backward feedback mechanism is proposed to estimate the scale variation between two consecutive frames. We prove that these two strategies gain significant improvements over the predator algorithm and also show that the proposed method outperforms several other state-of-the-art trackers.
机译：捕食者算法是一项具有代表性的开拓性工作，可以在几种流行的视觉跟踪基准上达到最先进的性能，并且在商业上应用于长期不受约束的实时人脸跟踪时，也取得了巨大的成功。但是，将捕食者算法应用于内陆CCTV（闭路电视）船舶跟踪时，有两个主要缺点。首先，如果目标船遭受部分或什至完全遮挡，则捕食者算法中的LK短期追踪器容易趋于漂移，这主要是因为LK追踪器采用的类似角点的特征对遮挡外观变化非常敏感。其次，捕食者算法中的级联检测器以通常包含3-5个元素的预定义比例集中搜索候选对象，这阻碍了跟踪器适应目标船潜在的不同比例变化。在本文中，我们设计了一种基于随机投影的短期跟踪器，当船舶处于遮挡状态时，该跟踪器可以显着缓解跟踪漂移。此外，提出了一种向前-向后反馈机制来估计两个连续帧之间的比例变化。我们证明这两种策略比捕食者算法获得了显着改进，并且还表明了所提出的方法优于其他几种最新的跟踪器。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第7期|1205210.1-1205210.10|共10页
  • 作者

    Xiao Lei; Xu Minghai; Hu Zhongyi;

  • 作者单位

    Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Shanxi, Peoples R China;

    Wenzhou Univ, Intelligent Informat Syst Inst, Wenzhou 325035, Zhejiang, Peoples R China;

    Wenzhou Univ, Intelligent Informat Syst Inst, Wenzhou 325035, Zhejiang, Peoples R China;

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