基于视频事件的大型舰船舰面保障作业检测
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Flight Deck Aviation Support Job Detection Based on Video Event
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    摘要:

    大型舰船舰面保障作业指大型舰船携带的飞机从降落至舰面到起飞离舰的整个过程涉及的所有作业. 大型舰船舰面保障作业检测是个很有挑战的问题. 其难点是检测同一视频场景中并发的参与者位置交叉的保障作业. 本文提出一种基于视频事件的大型舰船舰面保障作业检测方法. 该方法将舰面保障作业视为更小粒度保障作业按一定约束构成的复杂事件. 先采用基于轨迹层次聚类的保障作业结构提取算法, 确定场景内保障作业的组合层次关系及各保障作业的参与者; 再采用基于作业模型的保障作业识别算法, 逐层识别保障作业类型. 实验结果表明, 本文方法取得良好的舰面保障作业检测效果, 可检测同一视频场景中并发的参与者位置交叉的保障作业.

    Abstract:

    The Flight Deck Aviation Support Job (FDASJ) on the large ship cover all the activities happening during the period from the airplane landing on the ship to the airplane taking off from the ship. It has been a challenge problem to detect the FDASJ based on videos. The difficulty is to detect multi-FDASJs occurring in the same scene during the same time period, participants of which are located alternatively. In this study, we propose an FDASJ detection method based on video event. The FDASJ is represented as the complex event composed of the fine-grained FDASJs. The FDASJ structure extraction algorithm based on trajectory hierarchical clustering is first adopted to determine the hierarchical combination relationship between FDASJs and the participators of each FDASJ; the FDASJ identification algorithm based on activity model is performed to identify the FDASJs. Experimental results show that the proposed method achieves sound performance and could detect multi-FDASJs occurring in the same scene during the same time period, participants of which are located alternatively.

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郭雪昆,李小燕,秦远辉,王宏安.基于视频事件的大型舰船舰面保障作业检测.计算机系统应用,2020,29(7):24-32

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历史
  • 收稿日期:2019-10-21
  • 最后修改日期:2019-11-20
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  • 在线发布日期: 2020-07-04
  • 出版日期: 2020-07-15
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