Comments (2)
That depends on how you decide the foot points of the two objects. The method we used based on bounding boxes may not work well for high precision. I would suggest to choose the center of mass of the segmented mask. But the most accurate approach might be training an additional model to estimate the foot points of vehicles.
from 2018aicity_teamuw.
Thank you for your recommendations. I've tried centering of mass, but it does not help. However, training a model seems good.
from 2018aicity_teamuw.
Related Issues (20)
- Can I use it to train for Multiple camera Multiple person tracking problem? HOT 14
- CUDA installation HOT 2
- sequence naming of images in TC_Tracker HOT 1
- Track1/6_SPD_EST issues HOT 9
- Code in C or C++ HOT 1
- FPS HOT 1
- How to run the yolo detection with the model provided? HOT 1
- Step 2- Camera calibration old method vs new method HOT 1
- Tracklet clustering HOT 2
- Unable to mark vanishing lines HOT 9
- Arguments 3_YOLO_VEH in file track1.sh
- Core dumped
- one difference between the provided code and the paper HOT 1
- Python implementation
- Can we use this on Windows? HOT 1
- Some questions about 2_CAM_CAL HOT 1
- Back projection matrix construction HOT 2
- Coordinate Systems Ambiguity HOT 6
- Inquiries Regarding the Integration of Semantic Features for Enhanced Vehicle Tracking HOT 1
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from 2018aicity_teamuw.