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首页> 外文期刊>Journal of Imaging Science and Technology >Robust Object Tracking based on Perceptual Hashing with Fragment Integral Mean
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Robust Object Tracking based on Perceptual Hashing with Fragment Integral Mean

机译：基于感知哈希与碎片积分均值的鲁棒目标跟踪

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摘要

In this article, a real-time object tracking method based on perceptual hashing called MHash is put forward. In order to enhance the robustness of noise and the apparent change, hash down-sampling is employed to ignore the image aspect ratio and gain low frequency information. Solving the problem of partial illumination change and occlusion, fragment-hash tracking is proposed. Overcoming the limitation of global illumination change, the mean-compared method is used. Also, integral image is applied to accelerate the calculation of the mean and confidence map to filter matching noise for the maximum inhibition. Experimental results show that MHash algorithm has very strong robustness especially for partial occlusion and illumination change, and achieves accurate tracking in a variety of sequences. The average tracking speed reaches 52.12 fps that shows high speed. (C) 2017 Society for Imaging Science and Technology.
机译：本文提出了一种基于感知哈希的实时对象跟踪方法，称为MHash。为了增强噪声和表观变化的鲁棒性，采用哈希下采样来忽略图像长宽比并获得低频信息。为了解决局部光照变化和遮挡的问题，提出了片段哈希跟踪算法。为了克服全局照度变化的限制，使用了均值比较方法。同样，应用积分图像来加速均值和置信度图的计算，以过滤匹配噪声以获得最大抑制。实验结果表明，MHash算法具有很强的鲁棒性，特别是对于部分遮挡和照明变化，并能在各种序列中实现精确的跟踪。平均跟踪速度达到52.12 fps，显示出很高的速度。 （C）2017年影像科学与技术学会。

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  • 来源
    《Journal of Imaging Science and Technology》 |2017年第6期|060501.1-060501.7|共7页
  • 作者

    Yan Junhua; Wang Shunfei; Wang Zhigang; Qi Shengxiang;

  • 作者单位

    Nanjing Univ Aeronaut & Astronaut, Coll Astronaut, Nanjing 210016, Jiangsu, Peoples R China;

    Nanjing Univ Aeronaut & Astronaut, Coll Astronaut, Nanjing 210016, Jiangsu, Peoples R China;

    Nanjing Univ Aeronaut & Astronaut, Coll Astronaut, Nanjing 210016, Jiangsu, Peoples R China;

    Sci & Technol Avion Integrat Lab, Shanghai 200233, Peoples R China;

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