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People-Object Interaction Dataset
The dataset comprises 38 series of 30‑view RGB‑D video sequences, each accompanied by camera parameters, foreground masks, SMPL models, and assorted point‑cloud and mesh files. Every video is captured at 4K resolution, 25 FPS, and lasts between 1 and 19 seconds. All 30 viewpoints were recorded using Azure Kinect devices in a unified surrounding scene.
Updated 5/14/2024
github
Description
People‑Object Interaction Dataset Overview
Content
- Video Sequences: 38 series with 30‑view RGB‑D videos, 4K resolution, 25 FPS, 1–19 s duration.
- Auxiliary Data: Camera parameters, foreground masks, SMPL models, point clouds, and mesh files.
Sequence Details
- Empty Scene: 1 sequence, 1 s.
- Camera Calibration: 1 sequence, 8 s.
- Single‑Person Interaction: 23 sequences, 2–19 s, covering activities such as reading, sitting, opening an umbrella, etc.
- Two‑Person Interaction: 11 sequences, 2–14 s, involving cooperative tasks like moving a table or sweeping.
- Three‑Person Interaction: 2 sequences, 2–5 s, mainly group photo scenarios.
Processing
- Foreground Masks: Extracted using BackgroundMattingV2.
- Point Cloud & Mesh: Generated following methods from Zhou et al. (IEEE 2022) and Zhou et al. (IBCV 2023).
- SMPL Models: Obtained via MMHuman3D.
Download
- Accessible via BaiduNetdisk or the Medialab portal.
Camera Parameters
- Files
intrinsic.txtandextrinsic.txtprovide intrinsic and extrinsic calibration data. Extrinsics map camera coordinates to world coordinates.
Citation
- Accepted at ICIP‑2024.
@inproceedings{POID,
title={A New People‑Object Interaction Dataset and NVS Benchmarks},
author={Guo, Shuai and Zhong, Houqiang and Wang, Qiuwen and Chen, Ziyu and Gao, Yijie and Yuan, Jiajing and Zhang, Chenyu and Xie, Rong and Song, Li},
booktitle={2024 IEEE International Conference on Image Processing (ICIP)},
year={2024},
organization={IEEE}
}
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Topics
Human‑Computer Interaction
Behavior Recognition
Source
Organization: github
Created: 1/18/2024
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