SoccerNet 2023 Tracking Challenge -- 3rd place MOT4MOT Team Technical
Report
- URL: http://arxiv.org/abs/2308.16651v1
- Date: Thu, 31 Aug 2023 11:51:16 GMT
- Title: SoccerNet 2023 Tracking Challenge -- 3rd place MOT4MOT Team Technical
Report
- Authors: Gal Shitrit, Ishay Be'ery, Ido Yerhushalmy
- Abstract summary: The SoccerNet 2023 tracking challenge requires the detection and tracking of soccer players and the ball.
We employ a state-of-the-art online multi-object tracker and a contemporary object detector for player tracking.
Our method achieves 3rd place on the SoccerNet 2023 tracking challenge with a HOTA score of 66.27.
- Score: 0.552480439325792
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: The SoccerNet 2023 tracking challenge requires the detection and tracking of
soccer players and the ball. In this work, we present our approach to tackle
these tasks separately. We employ a state-of-the-art online multi-object
tracker and a contemporary object detector for player tracking. To overcome the
limitations of our online approach, we incorporate a post-processing stage
using interpolation and appearance-free track merging. Additionally, an
appearance-based track merging technique is used to handle the termination and
creation of tracks far from the image boundaries. Ball tracking is formulated
as single object detection, and a fine-tuned YOLOv8l detector with proprietary
filtering improves the detection precision. Our method achieves 3rd place on
the SoccerNet 2023 tracking challenge with a HOTA score of 66.27.
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