GMPHD_Rd20: Occlusion-robust Online Multi-object Visual Tracking using a GM-PHD Filter with a CNN-based Re-identification


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

Benchmark:

MOT20 |

Short name:

GMPHD_Rd20

Detector:

Public

Description:

Reference:

N. Baisa. Occlusion-robust online multi-object visual tracking using a GM-PHD filter with CNN-based re-identification. In Journal of Visual Communication and Image Representation, 2021.

Last submitted:

January 07, 2025 (13 days ago)

Published:

November 15, 2020 at 12:02:52 CET

Submissions:

3

Project page / code:

n/a

Open source:

No

Hardware:

3 GHZ, 1 Core

Runtime:

25.2 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT2046.945.136.9346 (27.9)257 (20.7)45,343224,20156.786.633.341.337.767.945.870.080.310.15,337 (0.0)8,609 (0.0)

Detailed performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT20-0467.051.943.0257567,18080,59570.696.434.154.539.467.357.878.982.63.52,7614,245
MOT20-0624.536.028.4359420,01178,71840.773.029.228.031.767.632.157.575.619.91,4492,461
MOT20-0751.952.141.040191,92413,64458.891.040.042.743.373.246.471.979.93.3348474
MOT20-0811.930.824.3148816,22851,24433.961.826.722.429.861.826.748.773.820.17791,429

Raw data:


GMPHD_Rd20