From 442683a63a36187a8ac939b46e7eea56b0edcb2f Mon Sep 17 00:00:00 2001 From: David PAGNON Date: Wed, 17 Apr 2024 10:10:55 +0200 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 568afa5..766b8a9 100644 --- a/README.md +++ b/README.md @@ -772,7 +772,7 @@ You will be proposed a to-do list, but please feel absolutely free to propose yo ▢ **Calibration:** Alternatively, self-calibrate with [OpenPose keypoints](https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/cvi2.12130). Set world reference frame in the end. ▢ **Calibration:** Convert [fSpy calibration](https://fspy.io/) based on vanishing point. -▢ **Synchronization:** Synchronize cameras on 2D keypoint speeds. Cf [this draft script](https://github.com/perfanalytics/pose2sim/blob/draft/Pose2Sim/Utilities/synchronize_cams.py). +✔ **Synchronization:** Synchronize cameras on keypoint speeds. ✔ **Person Association:** Automatically choose the main person to triangulate. ✔ **Person Association:** Multiple persons association. 1. Triangulate all the persons whose reprojection error is below a certain threshold (instead of only the one with minimum error), and then track in time with speed cf [Slembrouck 2020](https://link.springer.com/chapter/10.1007/978-3-030-40605-9_15)? or 2. Based on affinity matrices [Dong 2021](https://arxiv.org/pdf/1901.04111.pdf)? or 3. Based on occupancy maps [Yildiz 2012](https://link.springer.com/chapter/10.1007/978-3-642-35749-7_10)? or 4. With a neural network [Huang 2023](https://arxiv.org/pdf/2304.09471.pdf)?