CTTrackPub: Tracking Objects as Points


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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Benchmark:

MOT17 |

Short name:

CTTrackPub

Detector:

Public

Description:

Our model takes the current frame, the previous frame, and a heatmap rendered from previous tracking results as input, and predicts the current detection heatmap as well as their offsets to centers in the previous frame.

Reference:

X. Zhou, V. Koltun, P. Kr"ahenb"uhl. Tracking Objects as Points. In ECCV, 2020.

Last submitted:

May 28, 2020 (4 years ago)

Published:

November 02, 2020 at 17:07:05 CET

Submissions:

2

Open source:

No

Hardware:

4 GHZ, 12 Core, Titan Xp

Runtime:

17.0 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT1761.559.648.2621 (26.4)752 (31.9)14,076200,67264.496.347.849.053.970.651.977.681.70.82,583 (40.1)4,965 (77.1)

Detailed performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT17-01-DPM41.644.236.9584963,25249.686.637.636.541.965.039.969.779.61.12258
MOT17-01-FRCNN41.042.135.5695713,20750.385.034.636.839.363.740.668.679.51.32561
MOT17-01-SDP41.844.336.8786123,11251.884.536.537.441.264.641.567.879.41.42765
MOT17-03-DPM79.371.656.99481,14220,29780.698.752.761.858.174.465.079.581.90.8191525
MOT17-03-FRCNN79.672.757.59371,23419,94580.998.653.762.058.874.865.279.481.90.8180508
MOT17-03-SDP80.072.057.59381,22319,53081.398.653.562.258.775.065.579.381.90.8181526
MOT17-06-DPM54.842.035.954633144,83958.995.728.945.248.841.847.877.782.20.3175244
MOT17-06-FRCNN55.642.936.757593634,67660.395.129.546.048.342.948.977.182.00.3190264
MOT17-06-SDP55.543.837.156613544,71260.095.230.245.949.143.548.777.382.00.3181262
MOT17-07-DPM44.842.033.611161,3227,85153.587.230.438.134.563.342.168.779.92.6147275
MOT17-07-FRCNN45.541.533.413151,2637,78553.987.829.838.533.763.742.469.179.82.5156289
MOT17-07-SDP45.242.433.913151,3327,77554.087.330.638.334.663.842.468.679.82.7147279
MOT17-08-DPM26.532.230.5113737815,06628.794.139.523.846.368.924.580.584.50.688146
MOT17-08-FRCNN26.531.930.5113633215,11328.594.839.523.746.369.224.381.184.60.589141
MOT17-08-SDP26.632.330.6113635015,06728.794.539.623.846.469.724.580.884.50.691147
MOT17-12-DPM46.153.144.616452074,43448.895.351.039.259.170.641.280.384.70.23050
MOT17-12-FRCNN46.152.644.515451974,44348.795.550.639.259.070.141.180.584.70.23048
MOT17-12-SDP46.053.044.616452214,42648.995.050.939.259.070.641.280.184.70.23052
MOT17-14-DPM31.636.626.9137863611,81236.191.328.126.031.957.727.569.778.50.8196331
MOT17-14-FRCNN31.637.627.6137778011,65337.089.829.026.532.758.928.268.578.31.0202350
MOT17-14-SDP31.737.127.3137674911,67736.890.128.526.532.357.828.269.078.41.0205344

Raw data: