multicam
Datasets
All datasets matching “multicam”MultiCamVideo-DatasetGithub
Project Page
Paper
📷 MultiCamVideo Dataset
1. Dataset Introduction
TL;DR: The MultiCamVideo Dataset, introduced in ReCamMaster, is a multi-camera synchronized video dataset rendered using Unreal Engine 5. It includes synchronized multi-camera videos and their corresponding camera trajectories. The MultiCamVideo Dataset can be valuable in fields such as camera-controlled video generation, synchronized video production, and 3D/4D reconstruction.
The… See the full description on the dataset page: https://huggingface.co/datasets/KlingTeam/MultiCamVideo-Dataset.multicam_no_personlibero_multicam_objectrealsense-multicam-tabletop
RealSense Multi-Camera Tabletop
Synchronized multi-view RGB + stereo IR captures of a tabletop scene from 4 Intel RealSense
cameras, recorded with fixed camera positions. Includes FoundationStereo depth for two scenes
and chessboard-derived extrinsics for merging the views into a single point cloud.
Layout
scene_000NN/
├── camera_poses.json # extrinsics, only in calibration scenes (see table)
└── <camera_serial>/
├── rgb/00000.jpg ... 00119.jpg #… See the full description on the dataset page: https://huggingface.co/datasets/Flashkernel/realsense-multicam-tabletop.multicam-4d-stereo
MultiCam 4D Stereo Dataset
同步 8 目立体相机 4D 采集数据。8 台 DECXIN/Nori 并排立体模组由单个 ESP32 门控触发器并联驱动,跨相机同步 ~0.4µs(亚微秒)。每台相机自带用屏幕 ChArUco 标定出的双目内参。
相机
每台相机有唯一动物名(对应物理标签):Cat Pig Cow Fish Tiger Sheep Dog Mouse。
文件(每个 zip = 一段截取)
文件
会话
帧范围
每台每目帧数
ui_1784818172_8s到结尾_8台命名带内参.zip
ui_1784818172
8s→结尾
353
ui_1784817901_4s到7s_8台命名带内参.zip
ui_1784817901
4s→7s
90
ui_1784817901_10s到结尾_8台命名带内参.zip
ui_1784817901
10s→结尾
291
(帧范围按 30fps 换算;每 zip 解压得到一个… See the full description on the dataset page: https://huggingface.co/datasets/HelloDeDe/multicam-4d-stereo.Multi-Camera-Multi-Vehicle-Tracking-System
Multi-Camera Multi-Vehicle Tracking System (UAV Dataset)
This dataset contains synchronized multi-UAV video footage and comprehensive tracking annotations, accompanying the paper A Topology-Aware Spatiotemporal Handover Framework for Continuous Multi-UAV Tracking.
It is designed for evaluating real-time multi-camera multi-vehicle tracking (MCMT) systems, focusing on solving trajectory fragmentation and maintaining global identity persistence across isolated UAV fields of view.… See the full description on the dataset page: https://huggingface.co/datasets/jye9/Multi-Camera-Multi-Vehicle-Tracking-System.