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Update README.md
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ozora-ogino authored Mar 12, 2022
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The motivation of TensorFlow Lite Human Tracking is developing person tacking system for edge camera.
For example, count the number of visitors.

To track and detect people over frames, DeepSORT is adopted.

For the detail about DeepSORT, refer [this great article](https://medium.com/augmented-startups/deepsort-deep-learning-applied-to-object-tracking-924f59f99104).

To track and detect people over frames, SORT is adopted.

Currently [YOLOv5](https://github.com/ultralytics/yolov5) models are supported for object detection.
To get YOLOv5 tflite model, see [`models/README.md`](./models/README.md)
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