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Original issue: #17
I got the same problem. cx/cy/h OK, only the a is abnormal.
Moreover, the larger the pixel width of the target object, the more obvious the abnormality in the width of the tracking box.
I added LatestDetectionRect attribute to STrack, which is used to get the latest detection bbox corresponding to a track_id, thus bypassing this issue.
But this is just a makeshift solution.
In the Activate function of STrack, the initial standard deviation of va in stdArray is very small, which means that it assumes the aspect ratio of the object is almost constant. ( in order to achieve the best performance on the MOT dataset)
However, in my application scenario, the object quickly appears from the right side of the screen, moves across to the left side, and disappears, causing the aspect ratio to change drastically.
Therefore, I need to increase the initial standard deviation of va in stdArray, from 1e-5 to around 1e-2, which can solve this anomaly.
Activity
TRYOKETHEPEN commentedon Apr 7, 2026
I find out why.
In the Activate function of STrack, the initial standard deviation of va in stdArray is very small, which means that it assumes the aspect ratio of the object is almost constant. ( in order to achieve the best performance on the MOT dataset)
However, in my application scenario, the object quickly appears from the right side of the screen, moves across to the left side, and disappears, causing the aspect ratio to change drastically.
Therefore, I need to increase the initial standard deviation of va in stdArray, from 1e-5 to around 1e-2, which can solve this anomaly.
Li-Chang-Yi commentedon Nov 3, 2026
hello , i modify std(6) from 1e-5 to 1e-2 in bytekalmanfilter initiate function ,but seems no use,what can i do?
Li-Chang-Yi commentedon Nov 3, 2026
i also modify in predict function ,it seems works