association-quality-clavia 0.2.0

Enable binary classification of the association in multiple-object tracking.

Classification via instrumented association in multiple-object trackers

The package provides a classifier machinery working on top of an instrumented multi-object tracker fed with identified detections. Annotations may serve as the identified detections in the simplest case.

The acronym ClavIA stands for classification via instrumented association.

Installation

Should be as easy as pip install association-quality-clavia, but if you downloaded the repo, then uv sync standing in the root folder.

Usage

The instrumentation consists in adding an annotation and update IDs to the target objects (tracks) processed in the tracker. The annotation ID is initialized at the target creation time. The update ID is updated after each association procedure.

The classifier procedure should be called after each tracking step. It is capable of telling apart true positives, false positives, false negatives and true negatives if provided with the annotation and update IDs and the list of annotation IDs given to the tracker the current step.

The use of the module will be demonstrated in the packages (repos) pure-ab-3d-mot and eval-ab-3d-mot. The package pure-ab-3d-mot features a refactored AB3DMOT tracker instrumented according to the needs of the binary classification of the association. The package eval-ab-3d-mot features the evaluation part extracted from the original AB3DMOT as well as the code to use the association classifier from this package.