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KCF Object tracking method and device using improved kernelized correlation filters

机译:使用改进的核相关滤波器的KCF对象跟踪方法和设备

摘要

The present invention discloses an object tracking method and apparatus using an improved KCF. According to the present invention, it includes a processor and a memory connected to the processor, wherein the memory generates a plurality of Gaussian blur images for an input patch including an object, and extracts features and correlation filters for each Gaussian blur image A correlation response map is calculated to determine a target position in each Gaussian blur image, and a weight update score for each Gaussian blur image is calculated using the final position of the object determined in the previous frame and the target position, An object tracking device is provided that stores program instructions executable by the processor to determine an adaptive feature weight to be applied to a next frame using the weight update score.
机译:本发明公开了一种使用改进的KCF的物体跟踪方法和装置。根据本发明,它包括处理器和连接到该处理器的存储器,其中该存储器为包括对象的输入斑块生成多个高斯模糊图像,并为每个高斯模糊图像提取特征和相关滤波器。计算地图以确定在每个高斯模糊图像中的目标位置,并使用在前一帧中确定的对象的最终位置和目标位置来计算每个高斯模糊图像的权重更新分数。存储由处理器执行的程序指令,以使用权重更新得分来确定要应用于下一帧的自适应特征权重。

著录项

  • 公开/公告号KR102164754B1

    专利类型

  • 公开/公告日2020-10-13

    原文格式PDF

  • 申请/专利权人 중앙대학교 산학협력단;

    申请/专利号KR20190104972

  • 发明设计人 백준기;박하실;김영빈;

    申请日2019-08-27

  • 分类号G06T7/20;G06T5/20;G06T5/40;

  • 国家 KR

  • 入库时间 2022-08-21 11:03:35

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