Online Multiple Pedestrian Tracking with Deep Temporal Appearance Matching Association

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

Short name:

DD_TAMA16

Benchmark:

Description:

Hardware:

3.7GHZ, 1 Core, no GPU

Detector:

Public

Processing:

Online

Last submitted:

February 10, 2019 (3 months ago)

Published:

April 28, 2019 at 13:42:34 CET

Submissions:

1

Open source:

No

Project page / code:

n/a

Reference:

Young-Chul Yoon, Online Multiple Pedestrian Tracking with Deep Temporal Appearance Matching Association, For Journal submission

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
46.275.40.914.1 % 44.0 % 5,12692,3675981,1273.7GHZ, 1 Core, no GPUPublic
IDF1ID PrecisionID Recall
49.472.137.6

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
MOT16-0139.044.271.80.22321.7 % 43.5 % 1123,7682048
MOT16-0354.253.575.61.614819.6 % 19.6 % 2,36345,320248526
MOT16-0643.655.872.60.722115.8 % 48.0 % 7865,64180162
MOT16-0739.844.673.21.1549.3 % 35.2 % 5439,20979165
MOT16-0832.935.580.10.86314.3 % 39.7 % 52610,6427071
MOT16-1242.051.476.50.38620.9 % 47.7 % 3144,4573748
MOT16-1424.935.874.60.61643.7 % 63.4 % 48213,33064107

Raw data:

n/a


DD_TAMA16