Method

DTFI [DTFI]
[Anonymous Submission]

Submitted on 15 Apr. 2022 10:51 by
[Anonymous Submission]

Running time:0.01 s
Environment:1 core @ 2.5 Ghz (Python)

Method Description:
DTFI
Parameters:
DTFI
Latex Bibtex:

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 72.22 % 65.67 % 79.98 % 81.99 % 70.95 % 84.14 % 87.65 % 86.35 %

Benchmark TP FP FN
CAR 32514 1878 7232

Benchmark MOTA MOTP MODA IDSW sMOTA
CAR 72.91 % 84.59 % 73.51 % 207 58.34 %

Benchmark MT rate PT rate ML rate FRAG
CAR 86.00 % 13.08 % 0.92 % 524

Benchmark # Dets # Tracks
CAR 39746 3743

This table as LaTeX