This project forked from zsimeon/kalmantrakcer
使用卡尔曼滤波进行多目标追踪，给定一个道路视频和视频中检测到的所有车框，追踪多个车框，并给每个框赋一个id
1 使用卡尔曼滤波进行多目标追踪
2 给定一个道路视频，并通过检测算法得到车道中所有的车的boundingBox信息
3 追踪多个车框，每个车框一个车辆id，并将表示同一车辆的车框赋予相同的id
4 使用visual studio 2019 和 opencv 4.1.0
5 使用匈牙利匹配将预测框和实际检测到的框相匹配
项目中涉及的卡尔曼滤波和匈牙利匹配方法来自该作者的github https://github.com/mcximing/sort-cpp
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