MOT17Det

Pedestrian Detection Challenge. All MOT16 sequences are used with a new, more accurate ground truth.

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Training Set

SampleName FPS Resolution Length Boxes DensityDescriptionSourceRef.
1MOT17-13251920x1080750 (00:30)1164215.5Filmed from a bus on a busy intersectionlink[1]
2MOT17-11301920x1080900 (00:30)943610.5Forward moving camera in a busy shopping malllink[1]
3MOT17-10301920x1080654 (00:22)1283919.6A pedestrian scene filmed at night by a moving cameralink[2]
4MOT17-09301920x1080525 (00:18)532510.1A pedestrian street scene filmed from a low angle.link[2]
5MOT17-0514640x480837 (01:00)69178.3Street scene from a moving platformlink[3]
6MOT17-04301920x10801050 (00:35)4755745.3Pedestrian street at night, elevated viewpointlink[1]
7MOT17-02301920x1080600 (00:20)1858131.0People walking around a large square.link[2]
Total 5316 frm.
(215 s.)
112297 21.1

Test Set

SampleName FPS Resolution Length Boxes DensityDescriptionSourceRef.
1MOT17-14251920x1080750 (00:30)1848324.6Filmed from a bus on a busy intersectionlink[1]
2MOT17-12301920x1080900 (00:30)86679.6Forward moving camera in a busy shopping malllink[1]
3MOT17-08301920x1080625 (00:21)2112433.8A crowded pedestrian street, stationary cameralink[2]
4MOT17-07301920x1080500 (00:17)1689333.8A busy pedestrian street filmed at eye level by a moving cameralink[2]
5MOT17-0614640x4801194 (01:25)117849.9Street scene from a moving platformlink[3]
6MOT17-03301920x10801500 (00:50)10467569.8Pedestrian street at night, elevated viewpointlink[1]
7MOT17-01301920x1080450 (00:15)645014.3People walking around a large square.link[2]
Total 5919 frm.
(248 s.)
188076 31.8


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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.