基于金字塔Lucas-Kanade光流的运动目标检测与跟踪

Zhen Wang, Xiaojun Yang
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引用次数: 26

摘要

为了使光流能够跟踪更大、更快的运动目标,采用金字塔卢卡斯-卡纳德光流法对运动目标进行检测和跟踪。首先检测容易跟踪的角点,为了提高跟踪精度,检测到角点后再计算亚像素角点,然后将视频中每一帧图像分层在图像金字塔中计算顶部角点的光流,以下一个金字塔作为金字塔的起点,重复此过程直到底部金字塔图像。克服了Lucas-Kanade光流法不能跟踪更快、更大运动的缺点,实现了对运动目标的跟踪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Moving Target Detection and Tracking Based on Pyramid Lucas-Kanade Optical Flow
In order to enable the optical flow to track larger and faster moving targets, pyramid Lucas-Kanade optical flow method is used to detect and track moving targets. First, detecting the corners which is easy to track, in order to improve the tracking accuracy, detected corners and then calculate the sub-pixel corner, and then the video in each frame of the image layered in the image pyramid to calculate the optical flow at the top corner, use the next pyramid as the starting point of the pyramid and repeat this process until the bottom pyramid image, which can overcome the Lucas-Kanade optical flow method cannot track faster and larger movements the shortcomings, to achieve the tracking of moving goals.
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