OPITrack_: An Object Point Set Inductive Tracker for Multi-Object Tracking and Segmentation


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Rendering of new sequences is currently deactivated due to heavy load.

Benchmark:

MOTS |

Short name:

OPITrack_

Description:

Y. Gao, H. Xu, Y. Zheng, J. Li and X. Gao, "An Object Point Set Inductive Tracker for Multi-Object Tracking and Segmentation," in IEEE Transactions on Image Processing, 2022, doi: 10.1109/TIP.2022.3203607.

Reference:

Y. Gao, H. Xu, Y. Zheng, J. Li and X. Gao, "An Object Point Set Inductive Tracker for Multi-Object Tracking and Segmentation," in IEEE Transactions on Image Processing, 2022, doi: 10.1109/TIP.2022.3203607.

Last submitted:

July 13, 2021 (3 years ago)

Published:

September 11, 2022 at 14:42:01 CET

Submissions:

1

Project page / code:

n/a

Open source:

No

Hardware:

GPU

Runtime:

3,382.2 Hz

Benchmark performance:

Sequence sMOTSA IDF1 MOTSA MOTSP MODSA MT ML TP FP FN Rcll Prcn ID Sw. Frag
MOTS63.545.475.584.676.6218 (66.5)28 (8.5)25,1524417,11777.998.3342 (438.8)583 (748.0)

Detailed performance:

Sequence sMOTSA IDF1 MOTSA MOTSP MODSA MT ML TP FP FN Rcll Prcn ID Sw. Frag
MOTS20-0168.560.382.883.183.7802,6171648984.399.42953
MOTS20-0674.431.588.085.189.414898,93615887891.198.3144222
MOTS20-0749.946.960.283.261.213177,887124,99161.299.8125221
MOTS20-1271.657.483.786.384.34925,71225575988.395.74487

Raw data: