基于机器学习的物体追踪

Md. Rakibul Karim Akanda, Joshua Reynolds, Treylin Jackson, Milijah Gray
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引用次数: 0

摘要

本文进行了基于机器学习的物体检测和跟踪。作者利用开放式计算机视觉(即 OpenCV)在物体周围设置了一个兴趣范围(ROI)。接下来,作者使用了一种跟踪算法来保持对物体的跟踪,同时操作两个伺服电机来保持物体在画面中的中心位置。本文包含详细的程序和代码。
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Machine learning based object tracking
Machine learning based object detection as well as tracking that object have been performed in this paper. The authors were able to set a range of interest (ROI) around an object using Open Computer Vision, better known as OpenCV. Next a tracking algorithm has been used to maintain tracking on an object while simultaneously operating two servo motors to keep the object centered in the frame. Detailed procedure and code are included in this paper.
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