Benchmark:

MOT17 | MOT20 |

Short name:

MMSMOT

Detector:

Public

Description:

we proposes utilizing Principal Component Analysis (PCA) on the target ROI to decompose target features, expressing the identical feature of targets by collectively representing the principal component features of the ROI region, and utilizing these principal component features to form local features, the identical features are then trained through a classification task. Furthermore, in the template matching process, we introduce a local features matching algorithm for targets and trajectories. This algorithm adopts a multi-to-multi matching style, aiming to associate every detailed part of the ROI feature. The detections for training our model base on the public mot17 and mot20 benchmarck by SDP detector.

Reference:

Last submitted:

January 26, 2024 (3 months ago)

Published:

February 11, 2024 at 16:44:59 CET

Submissions:

3

Project page / code:

n/a

Open source:

No

Hardware:

1.5GHz, 1 Core

Runtime:

10.2 Hz

Benchmark performance:

Detailed performance:

Raw data:

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