From a91565ec5190987e1c9dda038faf82179267658c Mon Sep 17 00:00:00 2001 From: mehmet-mhy Date: Thu, 18 Apr 2024 18:04:50 -0600 Subject: [PATCH] updated README --- README.md | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 1d0eec8..325bd91 100644 --- a/README.md +++ b/README.md @@ -7,27 +7,30 @@

Our Presentation (December 2020)

-## Members: +## Members - Andrew Darling - Eric Hayes - Mehmet Yilmaz -## About: +## About - Given a skeleton based dataset collected from a depth sensor, the goal is to classify certain human actions using the Moving Pose algorithm as well as provide a simple UI. - To achieve this goal, we implmented the Moving Pose algorithm from the paper stated below and the database stated below. - This is our Fall 2020 CSCI470 (Introduction to Machine Learning) final Project. CSCI470 is an undergraduate class provided at the Colorado School of Mines. Our team name was: Nestlé. - Please view /movingpose/gui/README.md to learn more about the GUI and the hardware(s) used. -- You can grab the weights used in the presentation/demo here: https://github.com/MehmetMHY/moving-pose/releases/tag/weights -## Paper Implemented: +## Weights + +The weights used in our implementation of Moving-Pose can be downloaded from [HERE](https://github.com/MehmetMHY/moving-pose/releases/tag/weights). These weights were tuned using cloud GPUs back in December 2020 and are the same weights used in the presentation/demo. + +## Paper Implemented - **Title:** _The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection_ - **Authors:** Mihai Zanfir, Marius Leordeanu, & Cristian Sminchisescu. - **Paper:** [Zanfir_The_Moving_Pose_2013_ICCV_paper.pdf](https://openaccess.thecvf.com/content_iccv_2013/papers/Zanfir_The_Moving_Pose_2013_ICCV_paper.pdf) -## Dataset Used: +## Dataset Used - We used the MSR DailyActivity 3D Dataset dataset: [Dataset_Source](https://wangjiangb.github.io/my_data.html) - Multiview Action 3D Dataset Action IDs: