牛津多运动数据集

牛津多运动数据集是由牛津机器人研究所创建的一个高质量数据集，专注于解决场景中的多运动估计问题。该数据集包含超过110分钟的多运动数据，包括立体和RGB-D相机图像、IMU数据以及Vicon地面实况轨迹。数据集设计了多种实验，以测试算法在处理复杂运动、旋转和遮挡等情况下的性能。此数据集旨在推动多运动估计技术的发展，为机器人视觉和自动化领域的研究提供标准化方法和挑战性问题。

The Oxford Multi-Motion Dataset is a high-quality dataset developed by the Oxford Robotics Institute, focusing on addressing the multi-motion estimation problem in real-world scenarios. This dataset contains over 110 minutes of multi-motion data, including stereo and RGB-D camera images, IMU measurements, and Vicon ground-truth trajectories. A variety of tailored experiments are designed within this dataset to evaluate the performance of algorithms when dealing with complex motions, rotations, occlusions and other challenging situations. This dataset aims to promote the advancement of multi-motion estimation technologies, and provide standardized benchmarks and challenging research tasks for studies in the fields of robotic vision and automation.