Tracking By Detection

MOT16-01 MOT16-03 MOT16-06 MOT16-07 MOT16-08 MOT16-12 MOT16-14

Short name:

TBD_16

Benchmark:

Description:

This tracker operates in three stages: First, objects are detected in each frame independently using the DPM object detector by Ross Girshick and Pedro Felzenszwalb. Second, all detections with a positive score are associated to detections in the next frame using appearance and the bounding box overlap. We predict objects to the next frame using a Kalman filter and associate them globally via the Hungarian method for bipartite matching. To gap occlusions and missed detections, we also associate tracklets with each other in a first stage. Similarly to the second stage the Hungarian algorithm is employed but this time based on a occlusion sensitive appearance model and regression of the bounding boxes in one tracklet from the bounding boxes in the other tracklet. The algorithm outputs all associated tracklets with a lifetime longer than three frames.

The reported running time is dominated by the object detection stage.

Default parameters.

Hardware:

3 GHz, 1 CPU

Detector:

Public

Processing:

Batch

Last submitted:

March 30, 2016 (1 year ago)

Published:

March 31, 2016 at 07:34:42 CET

Submissions:

1

Open source:

Yes

Project page / code:

Reference:

A. Geiger, M. Lauer, C. Wojek, C. Stiller, R. Urtasun. 3D Traffic Scene Understanding from Movable Platforms. In Pattern Analysis and Machine Intelligence (PAMI), 2014.

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
33.776.51.07.2 % 54.2 % 5,804112,5872,4182,2523 GHz, 1 CPUPublic

Detailed performance:

Sequence MOTA MOTP FAF GT MT ML FP FN ID Sw Frag
MOT16-0122.473.70.2238.7 % 56.5 % 824,8146574
MOT16-0339.576.52.31488.8 % 29.7 % 3,43558,2801,5091,438
MOT16-0638.574.70.22218.6 % 57.0 % 2096,692196142
MOT16-0727.574.81.4547.4 % 50.0 % 68210,938217213
MOT16-0825.980.71.26311.1 % 46.0 % 74911,477170135
MOT16-1236.177.80.5869.3 % 52.3 % 4724,7547665
MOT16-1413.575.90.21641.2 % 77.4 % 17515,632185185

Raw data:


TBD_16