计算机视觉目标跟踪的可信估计
Trusted Estimation of Object Tracking in Computer Vision
DOI: 10.12677/AAM.2021.107259, PDF,   
作者: 李 杨, 李 喆：长春理工大学理学院，吉林 长春
关键词: 计算机视觉；目标跟踪；可信估计；Computer Vision； Target Tracking； Trusted Estimation
摘要: 计算机视觉领域，目标跟踪是一项具有许多现实应用的视觉任务，对运动的目标进行精准估计成为了一项具有重要意义的工作。本文将区间算法应用到计算机视觉目标跟踪中，基于频谱滤波器，利用区间运算实现计算机视觉目标跟踪问题的可信估计。当目标跟踪失败时，利用颜色识别对每一帧背景进行预处理，预估目标所在的区域范围，从而更好的确定目标位置。
Abstract: In the field of computer vision, target tracking is a visual task with many practical applications. Accurate estimation of moving targets has become an important work. In this paper, the interval algorithm is applied to computer vision target tracking. Based on the spectral filter, the interval operation is used to realize the trusted estimation of computer vision target tracking problem. When the target tracking fails, the color recognition is used to preprocess the background of each frame to estimate the range of the target area, so as to better determine the target location.
文章引用：李杨, 李喆. 计算机视觉目标跟踪的可信估计[J]. 应用数学进展, 2021, 10(7): 2486-2493. https://doi.org/10.12677/AAM.2021.107259

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