JPDA based DeepSORT


Short name:

DSORT_jpda

Benchmark:

Description:

m=10, default parameters

Hardware:

2x Intel(R) Xeon(R) CPU E5-2620, 1xNvidia Geforce GTX 680 4GB GDDR5

Detector:

Public

Processing:

Online

Last submitted:

June 14, 2019 (3 months ago)

Published:

June 16, 2019 at 00:00:00 CET

Submissions:

2

Open source:

Yes

Project page / code:

n/a

Reference:

Anonymous submission

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
39.178.76.311.1 % 29.0 % 28,114307,8374,83412,6342x Intel(R) Xeon(R) CPU E5-2620, 1xNvidia Geforce GTX 680 4GB GDDR5Public
IDF1ID PrecisionID Recall
34.852.226.1

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
CVPR19-0450.940.682.00.469212.4 % 21.2 % 807153,5501,8486,709
CVPR19-0623.625.471.914.42636.8 % 37.6 % 14,50983,8411,7793,456
CVPR19-0748.843.076.72.011124.3 % 18.9 % 1,19815,386368675
CVPR19-0812.822.170.114.41904.2 % 51.1 % 11,60055,0608391,794

Raw data:

n/a


DSORT_jpda
GNA