Training Set

Training Set - MOT16-04

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.

1. Training Set

 

2. MOT16-04

FPS: frame rate or frames per second

    30

resolution: frame size (w * h)

    1920x1080

length: number of frames (length in mm : ss)

    1050 (00:35)

    000001.jpg - 001050.jpg

tracks: number of annotated trajectories

    83

boxes: total number of annotated pedestrians

    47557

density: average number of pedestrians per frame

    45.3

description

    pedestrian street at night, elevated viewpoint

 

2.1 \MOT16\train\MOT16-04\det\det.txt

detection，det

 

2.2 \MOT16\train\MOT16-04\gt\gt.txt

annotation/ground truth，gt

 

2.3 \MOT16\train\MOT16-04\img1

image，img

 

2.4 \MOT16\train\MOT16-04\seqinfo.ini

[Sequence]

name=MOT16-04

imDir=img1

frameRate=30

seqLength=1050

imWidth=1920

imHeight=1080

imExt=.jpg

 

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.