TUB CrowdFlow is a synthetic video dataset for visual crowd behavior analysis, containing 10 sequences and 5 scenes. Based on drone monitoring, each scene is synthesized twice from a static view and a dynamic view. The resolution of these synthetic videos is 1280×720, the speed is 25 frames/second, and the total number of frames is 3,200, which is also the typical video rendering of current commercial CCTV monitoring systems. Each sequence has the following ground truth data:

• Optical flow field
• Character tracks (up to 1,451)
• Dense pixel tracks

Citation

@INPROCEEDINGS{TUBCrowdFlow2018, AUTHOR = {Gregory Schr{\”o}der and Tobias Senst and Erik Bochinski and Thomas Sikora}, TITLE = {Optical Flow Dataset and Benchmark for Visual Crowd Analysis}, BOOKTITLE = {IEEE International Conference on Advanced Video and Signals-based Surveillance}, YEAR = {2018}, }