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public:cs:object_tracking [2025/01/20 16:38] – 创建 oakfire | public:cs:object_tracking [2025/01/20 16:45] (当前版本) – oakfire |
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* Object tracking | * Object tracking |
* 2020年的一个综述:https://github.com/LeeWise9/Object-Tracking-Overview | * 2020年的一个综述:https://github.com/LeeWise9/Object-Tracking-Overview |
| * https://cloud.tencent.com/developer/article/2008418 |
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==== 卡尔曼滤波 ==== | ==== 卡尔曼滤波 ==== |
* [[https://www.kalmanfilter.net/default.aspx|卡尔曼滤波的教程(英文)]] | * [[https://www.kalmanfilter.net/default.aspx|卡尔曼滤波的教程(英文)]] |
| * https://zhuanlan.zhihu.com/p/39912633 |
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| ==== ByteTrack ==== |
| * [[https://zhuanlan.zhihu.com/p/613223235 | 多目标跟踪 ByteTrack算法核心原理详解]] |
| * [[https://github.com/ifzhang/ByteTrack| github repo]] |
| * https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/mot/bytetrack |
| * c++ 实现时使用了 [[https://eigen.tuxfamily.org/index.php?title=Main_Page|Eigen向量库]], Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers, and related algorithms. |
| * IOU: https://blog.csdn.net/fendoubasaonian/article/details/78981636 |
| * IOU = 两个矩形交集的面积 / 两个矩形的并集面积, 详见 [[https://www.pyimagesearch.com/2016/11/07/intersection-over-union-iou-for-object-detection/|intersection-over-union-iou]] |
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