CrowdFlow Dataset

The TUB CrowdFlow is a synthetic dataset that contains 10 sequences showing 5 scenes. Each scene is rendered twice: with a static point of view and a dynamic camera to simulate drone/UAV based surveillance. The scenes are render using Unreal Engine at HD resolution (1280x720) at 25 fps, which is typical for current commercial CCTV surveillance systems. The total number of frames is 3200.

Each sequence has the following ground-truth data:

Optical flow fields
Person trajectories (up to 1451)
Dense pixel trajectories

TUB CrowdFlow 是一个合成数据集，其中包含10个序列，展示5个场景。每个场景均渲染两次：一次为静态视角，另一次则为动态相机，以模拟基于无人机/无人机的监控。这些场景使用 Unreal Engine 在高清分辨率（1280x720）下进行渲染，帧率为25 fps，这与当前商业闭路电视监控系统中的典型帧率相吻合。总帧数为3200帧。每个序列包含以下真实数据：光流场、人员轨迹（最多1451个）、密集像素轨迹。