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High-Speed Tracking with Kernelized Correlation Filters

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理论上来讲,gray特征应该比hog快才对,但我在自己的机器上(i9)对dog1这个序列测试时,发现gray明显慢很多: gaussian + hog 214 polynomial + hog 283 linear + hog 424 ------------ gaussian + gray 116 polynomial + gray 122 linear + gray 259 这个大概是什么原因呢

how the update function only return a cv::rect, but how to judge the track failed ? how to give some adviese?

It seems the code only realizes the location of the target.

Why have you switched to Piotr's toolbox? Has it proved better performance? I am asking this because the source code of the toolbox is really hard to read and debug.

if (resize_image_) { pos_ = FloorPointScale(pos_, 0.5); target_sz_ = FloorSizeScale(target_sz_, 0.5); } Here pos_ is halfed but frame is not. This will lead to a wrong crop .

Line 203 204, When xb0,yb0,O0[y] reaches the max value, sse::LDu sse::STRu instruction will read or write 1 or two 32 bit invalid memory address. I found the problem in [another...

Is there a funtion of file named run_tracker('all') as showed in the picture of running porcess? So all the videos can be tested. Hope the author can upload it.