AGT: Adapted Graph Tracking

MOT17-01-DPM


Benchmark:

MOT17 | MOT16 |

Short name:

AGT

Detector:

Public

Description:

graph tracking with self adapted weights.

Reference:

Alibaba DAMO Academy city-brain team

Last submitted:

August 17, 2020 (2 months ago)

Published:

August 13, 2020 at 21:08:56 CET

Submissions:

4

Project page / code:

n/a

Open source:

No

Hardware:

Tesla-V100 32 G, 2 Core

Runtime:

6.8 Hz

Benchmark performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
MOT1774.666.581.31,029 (43.7)363 (15.4)30,300108,98480.793.81.74,005 (49.6)8,382 (103.9)

Detailed performance:

Sequence MOTA IDF1 MOTP MT ML FP FN Recall Precision FAF ID Sw. Frag
MOT17-01-DPM58.049.181.51053832,28964.591.60.939108
MOT17-01-FRCNN58.049.181.51053832,28964.591.60.939108
MOT17-01-SDP58.049.181.51053832,28964.591.60.939108
MOT17-03-DPM89.377.482.513104,0286,94493.496.02.7246668
MOT17-03-FRCNN89.377.482.513104,0286,94493.496.02.7246668
MOT17-03-SDP89.377.482.513104,0286,94493.496.02.7246668
MOT17-06-DPM63.960.980.388415263,53370.094.00.4195273
MOT17-06-FRCNN63.960.980.388415263,53370.094.00.4195273
MOT17-06-SDP63.960.980.388415263,53370.094.00.4195273
MOT17-07-DPM64.251.280.22331,0544,83671.492.02.1151421
MOT17-07-FRCNN64.251.280.22331,0544,83671.492.02.1151421
MOT17-07-SDP64.251.280.22331,0544,83671.492.02.1151421
MOT17-08-DPM50.438.679.72171,7118,36460.488.22.7400575
MOT17-08-FRCNN50.438.679.72171,7118,36460.488.22.7400575
MOT17-08-SDP50.438.679.72171,7118,36460.488.22.7400575
MOT17-12-DPM56.463.380.127205953,13663.890.30.746179
MOT17-12-FRCNN56.463.380.127205953,13663.890.30.746179
MOT17-12-SDP56.463.380.127205953,13663.890.30.746179
MOT17-14-DPM49.852.674.743451,8037,22660.986.22.4258570
MOT17-14-FRCNN49.852.674.743451,8037,22660.986.22.4258570
MOT17-14-SDP49.852.674.743451,8037,22660.986.22.4258570

Raw data: