Multiple Object Tracking Benchmark - MOT16
https://motchallenge.net/data/MOT16/
This benchmark contains 14 challenging video sequences (7 training, 7 test) in unconstrained environments filmed with both static and moving cameras. Tracking and evaluation are done in image coordinates. All sequences have been annotated with high accuracy, strictly following a well-defined protocol.
Training Set
Test Set
wordbook
frame rate or frames per second，FPS：每秒帧数
resolution: frame size (w * h)
length: number of frames (length in mm : ss)
tracks: number of annotated trajectories
boxes: total number of annotated pedestrians
density: average number of pedestrians per frame
detection，det
annotation/ground truth，gt
references
[1] Milan, A., Leal-Taixé, L., Reid, I., Roth, S. & Schindler, K. MOT16: A Benchmark for Multi-Object Tracking. arXiv:1603.00831 [cs], 2016., (arXiv: 1603.00831).
[2] Leal-Taixé, L., Milan, A., Reid, I., Roth, S. & Schindler, K. MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking. arXiv:1504.01942 [cs], 2015., (arXiv: 1504.01942).
[3] Ess, A., Leibe, B. & Gool, L.V. Depth and Appearance for Mobile Scene Analysis. In Proceedings of the Eleventh IEEE International Conference on Computer Vision, 2007.