3D-POP - An automated annotation approach to facilitate markerless 2D-3D tracking of freely moving birds with marker-based motion capture

The 3DPOP dataset is a large scale 2D to 3D posture, identity and trajectory dataset for freely moving pigeons. We use marker-based motion tracking to first track precise head and body position and orientation for multiple individuals, then propagated custom keypoints based on the relative positions of markers and keypoints.

3DPOP数据集乃一项大规模的二维至三维姿态、身份及轨迹数据集，旨在记录自由移动的鸽子的相关数据。本研究采用基于标记的运动跟踪技术，首先精确追踪多个个体的头部和身体位置及朝向，随后根据标记与关键点的相对位置，传播定制化的关键点。