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--- |
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license: mit |
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tags: |
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- object-detection |
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- computer-vision |
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- sort |
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- tracker |
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- ocsort |
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--- |
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### Model Description |
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[Sort](https://arxiv.org/abs/1602.00763): A simple online and realtime tracking algorithm for 2D multiple object tracking in video sequences<img src="https://raw.githubusercontent.com/noahcao/OC_SORT/master/assets/teaser.png" width="600"/> |
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### Installation |
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``` |
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pip install sort-track |
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``` |
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### Tracker |
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```python |
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from sort.tracker import SortTracker |
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tracker = SortTracker(args) |
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for image in images: |
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dets = detector(image) |
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online_targets = tracker.update(dets) |
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``` |
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### BibTeX Entry and Citation Info |
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``` |
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@inproceedings{Bewley2016_sort, |
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author={Bewley, Alex and Ge, Zongyuan and Ott, Lionel and Ramos, Fabio and Upcroft, Ben}, |
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booktitle={2016 IEEE International Conference on Image Processing (ICIP)}, |
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title={Simple online and realtime tracking}, |
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year={2016}, |
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pages={3464-3468}, |
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keywords={Benchmark testing;Complexity theory;Detectors;Kalman filters;Target tracking;Visualization;Computer Vision;Data Association;Detection;Multiple Object Tracking}, |
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doi={10.1109/ICIP.2016.7533003} |
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} |
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``` |
