add FAQs section
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@@ -93,6 +93,11 @@ python scripts/demo.py --video_path <your_video.mp4> --txt_path <path_to_first_f
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python scripts/demo.py --video_path <your_frame_directory> --txt_path <path_to_first_frame_bbox.txt>
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python scripts/demo.py --video_path <your_frame_directory> --txt_path <path_to_first_frame_bbox.txt>
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```
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```
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## FAQs
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**Question 1:** Do SAMURAI need training? [issue 34](https://github.com/yangchris11/samurai/issues/34)
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**Answer 1:** Unlike real-life samurai, the proposed samurai do not require additional training. It is a zero-shot method, we directly use the weights from SAM 2.1 to conduct VOT experiments. Kalman filter is used to estimate the current and future state (bounding box location and scale in our case) of a moving object based on measurements over time, it is a common approach that had been adapt in the field of tracking for a long time which does not requires any training. Please refer to code for more detail.
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## Acknowledgment
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## Acknowledgment
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SAMURAI is built on top of [SAM 2](https://github.com/facebookresearch/sam2?tab=readme-ov-file) by Meta FAIR.
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SAMURAI is built on top of [SAM 2](https://github.com/facebookresearch/sam2?tab=readme-ov-file) by Meta FAIR.
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