Comments (4)
Any clues on how to do the matching across cameras?
you can read some works about pedestrians re-identification (ReID)
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Yes, you can use bytetrack to perform single-camera tracking and then match the identities across different cameras.
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Got it thanks.
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Any clues on how to do the matching across cameras?
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Related Issues (20)
- Tracking Outputs vs Detection Outputs
- how to convet mmdetection yolox model to yolox model
- I've encountered while using the YOLOX trained model for object tracking.
- AttributeError: module 'numpy' has no attribute 'float' HOT 6
- tool/train.py 训练的是yolox模型是吗?bytetrack是不是不需要训练? HOT 1
- Minor possibility of boundary value problem
- I need to fine tune the pre trained (byte track default) model
- Evaluation of the modified algorithm
- Update class_id of tracked object HOT 1
- Support for DeepStream 6.4 HOT 1
- np.float errors in the trackers HOT 6
- yolox person detection result can not reproduce HOT 1
- How to use interpolation on MOT17 validation sets
- MOT17-13-FRCNN 0.0% NaN 44 0.0% 0.0% 100.0% 0.0% 100.0% 0.0% 0.0% 0.0% NaN 3156 HOT 9
- Using my own YOLOX model trained with official YOLOX repo, but demo_track.py outputs nothing
- Tracking Outputs vs Detection Outputs
- Id switches when object is not detected for a frame then returns
- 状态为TrackState.Lost的Tracker不参与第二次低置信度bbox的匹配?
- validation set selection
- Publicly disclose the size and high-resolution detection threshold of the test images for each sequence of MOT17 and MOT20🚀
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from bytetrack.