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如何使用序列的已知边界框数据估计丢失的边界框输出?

[英]How can I estimate missing bounding box outputs using known bounding box data of a sequence?

I am getting vehicle detections from YOLO with a video input.我正在通过视频输入从 YOLO 获取车辆检测。 And I got some missing bounding box outputs for some frames.对于某些帧,我得到了一些缺少的边界框输出。 How can I get bounding box estimations for those missing frames using other known bounding boxes and centers of that sequence?如何使用其他已知的边界框和该序列的中心来获得那些丢失帧的边界框估计?

Thanks!谢谢!

One way would be to just interpolate between adjacent frames.一种方法是在相邻帧之间进行插值。 When a bounding box is missing in a frame but is present in adjacent frames, you can take the coordinates of the bounding boxes and calculate the average.当一帧中缺少边界框但存在于相邻帧中时,您可以获取边界框的坐标并计算平均值。 If you want to make it more eleborate you can even include more frames and add a weight to weigh closer frames heavier.如果你想让它更精致,你甚至可以包括更多的框架并增加重量以使更近的框架更重。

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