Method

PolyTrack [on] [PolyTrack]
[Anonymous Submission]

Submitted on 31 Aug. 2021 00:07 by
[Anonymous Submission]

Running time:0.03 s
Environment:4 cores @ 3.0 Ghz (Python)

Method Description:
TBD
Parameters:
TBD
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 57.61 % 62.47 % 53.97 % 67.83 % 79.11 % 57.13 % 81.92 % 83.70 %
PEDESTRIAN 44.89 % 48.63 % 41.82 % 52.78 % 66.32 % 46.70 % 63.05 % 74.40 %

Benchmark TP FP FN
CAR 29197 7563 2320
PEDESTRIAN 14645 6052 1828

Benchmark MOTSA MOTSP MODSA IDSW sMOTSA
CAR 71.77 % 82.03 % 73.11 % 495 57.49 %
PEDESTRIAN 60.97 % 70.02 % 61.93 % 198 39.75 %

Benchmark MT rate PT rate ML rate FRAG
CAR 57.21 % 34.84 % 7.96 % 755
PEDESTRIAN 35.93 % 43.33 % 20.74 % 653

Benchmark # Dets # Tracks
CAR 31517 1088
PEDESTRIAN 16473 380

This table as LaTeX