Football Shot Detection using Convolutional Neural Networks
In this thesis, three different neural network architectures are investigated to detect the action of a shot within a football game using video data. The first architecture uses con- ventional convolution and pooling layers as feature extraction. It acts as a baseline and gives insight into the chal...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Institutionen för medicinsk teknik
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157438 |