Motion Trajectory Video Tracking Dataset

In the current media content industry, video analysis faces increasingly complex challenges, including precise motion tracking and real-time analysis requirements. Traditional video analysis solutions often perform poorly when dealing with complex movements and irregular trajectories, leading to deficiencies in accuracy and efficiency. This dataset focuses on solving the bottlenecks of motion tracking algorithms in terms of accuracy and real-time processing capabilities, meeting the technical needs of diverse video content creation. The dataset is recorded using high-frame-rate cameras in various motion scenarios to ensure diversity and realism of the data. Quality control is ensured through multiple rounds of annotation and expert consistency review, with an annotation team comprising video analysis experts and motion data scientists numbering more than 30 people. Data preprocessing involves steps like noise filtering and image enhancement, with data stored in MP4 format, organized in directories for easy retrieval.