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README.md

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@@ -10,8 +10,12 @@ This is the official Python and C++ implementation repository for a paper entitl
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- Using object deep feature is effective for re-ID tasks.
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- Fuzzy occlusion handling model improves tracking performance.
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### News
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- Our implementation for 3D multi-camera multi-object tracking with re-identification is released at [3D-Visual-MOT](https://github.com/linh-gist/3D-Visual-MOT)
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- Our GLMB/LMB Python package implementations adapted from Matlab, are released at [labeledRFS](https://github.com/linh-gist/labeledRFS)
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### Docker image
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Docker image to run VisualRFS codes can be found in [Docker Hub]().
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Docker image to run VisualRFS codes can be found in [VisualRFS Docker Hub](https://hub.docker.com/r/linhma/visualrfs).
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### Usage
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1. **Set Up Python Environment**

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