Method

STMask+Temporal_net_conf [STTPN]
[Anonymous Submission]

Submitted on 13 Dec. 2021 13:07 by
[Anonymous Submission]

Running time:20 s
Environment:1 core @ 3.0 Ghz (Python)

Method Description:
it's a upgrade version of STMask. Using upgrade
temporal net, we can inprove confidence in temporal
net
Parameters:
TBD
Latex Bibtex:
TBD

Detailed Results

From all 29 test sequences, our benchmark computes the HOTA tracking metrics (HOTA, DetA, AssA, DetRe, DetPr, AssRe, AssPr, LocA) [1] as well as the CLEARMOT, MT/PT/ML, identity switches, and fragmentation [2,3] metrics. The tables below show all of these metrics.


Benchmark HOTA DetA AssA DetRe DetPr AssRe AssPr LocA
CAR 54.09 % 55.91 % 53.53 % 63.06 % 73.34 % 58.26 % 78.84 % 82.01 %
PEDESTRIAN 27.61 % 28.40 % 29.00 % 34.32 % 49.00 % 35.53 % 52.22 % 71.11 %

Benchmark TP FP FN
CAR 27573 9187 4033
PEDESTRIAN 8600 12097 5895

Benchmark MOTSA MOTSP MODSA IDSW sMOTSA
CAR 63.01 % 79.55 % 64.04 % 378 47.67 %
PEDESTRIAN 11.34 % 67.78 % 13.07 % 358 -2.05 %

Benchmark MT rate PT rate ML rate FRAG
CAR 45.20 % 45.05 % 9.76 % 966
PEDESTRIAN 13.33 % 50.74 % 35.93 % 986

Benchmark # Dets # Tracks
CAR 31606 937
PEDESTRIAN 14495 393

This table as LaTeX