mlsanityData to 7 Oct 2026

Soccer Event Detection Using Deep Learning

arXiv 2102.04331 ↗First posted 8 Feb 2021cs.CVcited by 4

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Abstract (arXiv)

Event detection is an important step in extracting knowledge from the video. In this paper, we propose a deep learning approach to detect events in a soccer match emphasizing the distinction between images of red and yellow cards and the correct detection of the images of selected events from other images. This method includes the following three modules: i) the variational autoencoder (VAE) module to differentiate between soccer images and others image, ii) the image classification module to classify the images of events, and iii) the fine-grain image classification module to classify the images of red and yellow cards. Additionally, a new dataset was introduced for soccer images classification that is employed to train the networks mentioned in the paper. In the final section, 10 UEFA Champions League matches are used to evaluate the networks' performance and precision in detecting the events. The experiments demonstrate that the proposed method achieves better performance than state-of-the-art methods.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 19 of its 55 references that are in the map. First posted on arXiv 8 Feb 2021.

Builds on

19 of 55 references.

References · 19

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7 more
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 1.

4 papers.