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BoxMOT: A collection of SOTA real-time, multi-object trackers for object detectors

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 27 Jun 2023Publisher:Zenodo
Authors: Broström, Mikel;

doi: 10.5281/zenodo.8132989 , 10.5281/zenodo.7452873

BoxMOT: A collection of SOTA real-time, multi-object trackers for object detectors

Abstract

This repo contains a collections of state-of-the-art multi-object trackers. Supported ones at the moment are: DeepOCSORT , BoTSORT , StrongSORT, OCSORT and ByteTrack. DeepOCSORT, BoTSORT and StrongSORT are based on motion + appearance description; OCSORT and ByteTrack are based on motion only. For the methods using appearance description, lightweight state-of-the-art ReID models (LightMBN, OSNet and more) are downloaded automatically as well. We provide examples on how to use this package together with popular object detection models. Right now Yolov8, Yolo-NAS and YOLOX are available.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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