Comments (11)
The method itself is a minimal solution to the MOT problem and highlights the importance of good detection. I found that tracking favors detectors with higher precision over recall.
As mentioned in the paper SORT doesn't handle the issues of occlusion, re-identification or objects lost for a number of frames so there is plenty of work there to be done.
If you would like to add the SSD detections to SORT then please create a pull request.
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@abewley Can you give me the test sequence detection bbox result to me, Thx.
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@abewley I want to do my experiments on Faster RCNN detection , so I need the test sequences result . Can you publish it?
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@Bigloong MOT benchmark provide it .https://motchallenge.net/results/MOT16/
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@sdsdsd MOT benchmark provide it .https://motchallenge.net/results/MOT16/
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@abewley ,Hi, i want to compare sort tracker with other state-of--art tracker,so I can know how to improve it. But in https://motchallenge.net/results/2D_MOT_2015/, i cannot find your tracker,can you tell me the avg-rank score of your tracker?
Thank you in advance!
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Looks like the managers of the benchmark have changed a few things.
You can still find the results on the results page if you select "All" for the detections.
The Avg-rank is currently 31.9.
Looks like the SORT tracker has created a trend as only 2 out of the top 20 use the provided detections.
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@usjyehao: File not found
https://github.com/abewley/sort/issues/url
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On 2D MOT 215:
https://motchallenge.net/tracker/SORT
On MOT16:
https://motchallenge.net/tracker/SORTwHPD16
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Thank you by the way
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Related Issues (20)
- from sort import * causes dead Kenel HOT 1
- running SORT on custom dataset
- missing intermediate IDs HOT 2
- Using SORT when the number of elements to track is constant and known - ideas to recover missidentification and missmatches HOT 6
- C-Python implementation of SORT
- Multi-class multi-object tracking HOT 3
- error in iou__batches HOT 7
- Tracking other objects HOT 2
- Why are FP and FN different for each Tracker method in the paper?
- Preparing RLE for MOTS20 evaluation
- SORT ID for new detection between other old detections
- Logic Error? trk.hit_streak >=self.min_hits, ret.append(...)
- multiclass tracking HOT 3
- can I use this for windows ? because it still show me the same error ?
- No issue, just here for `lap` -> `lapx`
- instalation error
- How to get next state KalmanFilter
- ValueError: operands could not be broadcast together with shapes (0,) (1,3) HOT 1
- Python Version support for SORT
- Converting into Grayscale increasing the inference time ? Is there any way we can increase the model inference time ? HOT 1
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