基于V-CSK视频遥感卫星运动目标检测跟踪方法 |
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作者姓名: | 黄萍萍 王峰 向俞明 尤红建 |
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作者单位: | 1. 中国科学院空天信息研究院 中国科学院空间信息处理与应用系统技术重点实验室, 北京 100190;2. 中国科学院大学, 北京 100049 |
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基金项目: | 中国科学院前沿科学重点研究计划(ZDBS-LY-JSC036)和国家自然科学基金(61901439)资助 |
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摘 要: | 视频遥感卫星在道路交通导航、军事动态监视、目标跟踪等方面具有众多应用,因此利用卫星视频实现运动目标实时检测跟踪备受关注。针对卫星视频中的运动目标检测跟踪问题,提出基于V-CSK算法的检测跟踪方法,该算法采用改进的ViBe检测算法,引入多重自定义阈值滤波算法获得运动目标中心区域,再根据中心位置均值原理与噪声距离判断原则提取目标中心坐标,并实现轨迹曲线估计和修正,最后利用CSK算法实现目标跟踪。基于3组卫星视频数据进行实验,同时引入目标检测和跟踪的对比实验作为参照。实验结果表明,V-CSK算法在卫星视频运动目标检测跟踪中具有良好的性能。
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关 键 词: | 视频遥感卫星 运动目标检测 跟踪 ViBe算法 CSK算法 |
收稿时间: | 2019-11-07 |
修稿时间: | 2020-07-13 |
Moving target detection and tracking of satellite videos based on V-CSK algorithm |
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Authors: | HUANG Pingping WANG Feng XIANG Yuming YOU Hongjian |
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Institution: | 1. Key Laboratory of Spatial Information Processing and Application System of CAS, AeroSpace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China;2. University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract: | Video remote sensing satellite has many applications in road traffic navigation, military dynamic monitoring, target tracking and so on, so the use of satellite video to achieve real-time detection and tracking of moving targets is of great concern. Aiming at the problem of moving target detection and tracking in satellite video, this paper proposes a detection and tracking method based on V-CSK algorithm, which adopts improved ViBe detection algorithm, introduces multiple custom threshold filtering algorithm to obtain the center area of moving target, and then extracts the center coordinates of target according to the principle of center position mean and noise distance judgment, and realizes the estimation and repair of track curve. Finally, the target tracking is realized by CSK algorithm. The experiment is based on three groups of satellite video data, and the contrast experiment of target detection and tracking is introduced as a reference. The experimental results show that V-CSK algorithm has good performance in satellite video moving target detection and tracking. |
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Keywords: | video remote sensing satellite moving object detection tracking ViBe algorithm CSK algorithm |
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