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基于边缘信息的灰度目标跟踪算法

郑海超 毛峡 梁晓庚

郑海超, 毛峡, 梁晓庚等 . 基于边缘信息的灰度目标跟踪算法[J]. 北京航空航天大学学报, 2015, 41(12): 2240-2249. doi: 10.13700/j.bh.1001-5965.2014.0827
引用本文: 郑海超, 毛峡, 梁晓庚等 . 基于边缘信息的灰度目标跟踪算法[J]. 北京航空航天大学学报, 2015, 41(12): 2240-2249. doi: 10.13700/j.bh.1001-5965.2014.0827
ZHENG Haichao, MAO Xia, LIANG Xiaogenget al. Gray target tracking algorithm based on edge information[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(12): 2240-2249. doi: 10.13700/j.bh.1001-5965.2014.0827(in Chinese)
Citation: ZHENG Haichao, MAO Xia, LIANG Xiaogenget al. Gray target tracking algorithm based on edge information[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(12): 2240-2249. doi: 10.13700/j.bh.1001-5965.2014.0827(in Chinese)

基于边缘信息的灰度目标跟踪算法

doi: 10.13700/j.bh.1001-5965.2014.0827
基金项目: 高等学校博士学科点专项科研基金(20121102130001);中央高校基本科研业务费专项资金(YWF-14-DZXY-015);航天支撑技术基金
详细信息
    作者简介:

    郑海超(1986-),男,河北承德人,博士研究生,zhenghaichao_buaa@163.com

    通讯作者:

    毛峡(1952-),女,浙江义乌人,教授,moukyou@buaa.edu.cn,主要研究方向为计算机视觉、模式识别和人机交互.

  • 中图分类号: TP391.4

Gray target tracking algorithm based on edge information

  • 摘要: 提出了一种基于边缘信息的跟踪算法,其可以实现对剧烈变化的灰度目标的精确跟踪.首先,利用基于双同心圆窗口算子的非线性边缘检测算法得到高质量的边缘信息;其次,为了解决单一边缘特征空间不能充分表征目标的难题,提出了一种通过组合边缘图像构建特征空间的方法,以便为目标建模提供充分信息;再次,在构建的特征空间中使用核估计方法对目标进行建模;在目标定位阶段,利用Kalman滤波器对目标进行预估后,再由Mean Shift算法在预估位置邻近区域实现目标定位;最后,提出了一种基于形态学的动态模型更新策略,使得算法不仅可以获得精确的目标区域,还可以实现对目标尺寸和形状变化的自适应.实验结果表明,本算法不仅可以有效跟踪剧烈变化的灰度目标,而且跟踪窗口可以实现对目标尺寸和形状的自适应.

     

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出版历程
  • 收稿日期:  2014-12-30
  • 修回日期:  2015-04-03
  • 网络出版日期:  2015-12-20

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