Add dataset description

README.md

@@ -20,7 +20,6 @@
     ·
     <a href="http://www.cwang93.net/index_en.htm"><strong>Cheng Wang</strong></a>
   </p>
-<h2 align="center">CVPR 2023</h2>
 
 <p align="center">
   <a href="https://arxiv.org/pdf/2303.09095.pdf">
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     <img src='https://img.shields.io/badge/Homepage-orange?style=for-the-badge&logo=Google%20chrome&logoColor=white&labelColor=D35400' alt='Project Page'></a>
 </p>
 
-<div align="center">
+<!-- <div align="center">
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     <source src="./assets/teaser.mp4" type="video/mp4">
+    Your browser does not support the video tag.
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-</div>
+</div> -->
+
+  <div align="center">
+    <img src="./assets/teaser.gif" alt="Logo" width="100%">
+  </div>
+
+
 
-  <!-- <div align="center">
-    <img src="./assets/teaser.gif" alt="Logo" width="90%">
-  </div> -->
 
 ## News and Updates
+- *More info is coming soon…*
 - **03/2023**: Initial release of the visualization Tool ([SMPL-Scene Viewer](https://github.com/climbingdaily/SMPL-Scene-Viewer)) (v1.0)
 
+<br>
+<br>
+<br>
+
+## Dataset 
+- 15 sequences of 12 human subjects in 
+- 10 scenes in urban environments (1k – 30k 𝑚^2)
+- 100k+ frames multi-source data (20 Hz)
+- including 2D / 3D annotations and 3D scenes;
+7 km+ human motions.
+
+*Every human subject signed permission to release their motion data for research purposes.*
+
+<img src="assets/1_data_intro_202332215833.gif" width="50%"><img src="assets/1_data_intro_2_202332215837.gif" width="50%"> 
+
+### Dataset breakdown
+| Num | Sequence     | Traj. length ($m$) | Area size ($m^2$) | Frames | Motions                                      |
+| --- | ------------ | ---------------- | ---------------- | ------ | -------------------------------------------- |
+| 001 | campus_001   | 908              | 13,400           | 16,202 | Jogging downhill, tying shoelaces, jumping   |
+| 002 | football_002 | 221              | 200              | 4,665  | Juggling, passing, and shooting a football   |
+| 003 | street_002   | 291              | 1,600            | 6,496  | Taking photos, putting on/taking off a bag   |
+| 004 | library_001  | 440              | 2,300            | 9,949  | Borrowing books, reading, descending stairs |
+| 005 | library_002  | 474              | 2,300            | 8,901  | Looking up, reading, returning a book        |
+| 006 | library_003  | 477              | 2,300            | 8,386  | Admiring paintings, throwing rubbish, greeting |
+| 007 | garden_001   | 217              | 3,000            | 5,994  | Raising hand, sitting on bench, going upstairs |
+| 008 | running_001  | 392              | 8,500            | 2,000  | Running                                      |
+| 009 | running_002  | 985              | 30,000           | 8,113  | Running                                      |
+| 010 | park_001     | 642              | 9,300            | 12,445 | Visiting a park, walking up a small hill      |
+| 011 | park_002     | 1,025            | 11,000           | 1,000  | Buying drinks, trotting, drinking             |
+| 012 | square_001   | 264              | 3,200            | 6,792  | Making phone calls, waving, drinking          |
+| 013 | sunlightRock001  | 386           | 1,900            | 10,116 | Climbing stairs, taking photos, walking      |
+| 014 | garden_002   | 209              | 4,200            | 5,604  | Stooping, crossing a bridge, sitting cross-legged |
+| 015 | plaza_001    | 365              | 2,700            | 7,989  | Admiring sculptures, eating       
+
+### **File structure**
+``` bash
+├── seq{Num}_{Sequence}/
+|   ├── lidar_data/
+|   |   ├── lidar_frames_rot/
+|   |   |   └── '*.pcd' # n frames pcd
+|   |   ├── 'lidar_trajectory.txt'
+|   |   └── 'tracking_traj.txt'
+|   ├── mocap_data/
+|   |   └── '*.bvh'
+|   ├── rgb_data/
+|   |   ├── 'labels.pkl'
+|   |   └── '*.MP4'
+|   └── 'dataset_params.json'
+├── ...
+└── ...
+```
+For more information on data processing, please see [data-processing/README.md](./data_processing/README.md).
+
+## More qualitative results
+- Comparison between **IMU + ICP** and **our optimization** results.
+
+<div align="center">
+  <img src="./assets/2_compare_202332215842.gif" alt="Logo" width="80%">
+</div>
+<div align="center">
+Borrowing and reading a book on a sofa.
+</div>
+
+<div align="center">
+  <img src="./assets/2_compare_football_202332215855.gif" alt="Logo" width="80%">
+</div>
+<div align="center">
+Playing football.
+</div>
+
+- Comparison between *original extrinsic parameters* and *our optimization results*.
+<div align="center">
+  <img src="./assets/2_compare_extrinsic_202332215849.gif" alt="Logo" width="80%">
+</div>
+
+
+### Cross-Dataset Evaluation
+- LiDAR-based human pose estimation (HPE)
+
+<div align="center">
+  <img src="./assets/3_compare_lidarcap_20233221594.gif" alt="Logo" width="80%">
+</div>
+
+- Camera-based HPE
+<div align="center">
+  <img src="./assets/3_compare_vibe_20233221598.gif" alt="Logo" width="80%">
+</div>
+
+
+- Global Human Pose Estimation Comparison
+<div align="center">
+  <img src="./assets/4_compare_ghpe_glamr_202332215913.gif" alt="Logo" width="80%">
+</div>
+
 ## Citation
 ```
 @inproceedings{dai2023sloper4d,