BrackishMOT: The Brackish Multi-Object Tracking Dataset

نویسندگان

چکیده

There exist no publicly available annotated underwater multi-object tracking (MOT) datasets captured in turbid environments. To remedy this we propose the BrackishMOT dataset with focus on schools of small fish, which is a notoriously difficult MOT task. consists 98 sequences wild. Alongside novel dataset, present baseline results by training state-of-the-art tracker. Additionally, framework for creating synthetic order to expand dataset. The animated fish models and realistic We analyse effects including data during show that combination real can enhance performance. Links code be found at https://www.vap.aau.dk/brackishmot .

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ژورنال

عنوان ژورنال: Lecture Notes in Computer Science

سال: 2023

ISSN: ['1611-3349', '0302-9743']

DOI: https://doi.org/10.1007/978-3-031-31435-3_2