Matches in SemOpenAlex for { <https://semopenalex.org/work/W4287723737> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4287723737 abstract "Soccer analytics is attracting increasing interest in academia and industry, thanks to the availability of data that describe all the spatio-temporal events that occur in each match. These events (e.g., passes, shots, fouls) are collected by human operators manually, constituting a considerable cost for data providers in terms of time and economic resources. In this paper, we describe PassNet, a method to recognize the most frequent events in soccer, i.e., passes, from video streams. Our model combines a set of artificial neural networks that perform feature extraction from video streams, object detection to identify the positions of the ball and the players, and classification of frame sequences as passes or not passes. We test PassNet on different scenarios, depending on the similarity of conditions to the match used for training. Our results show good classification results and significant improvement in the accuracy of pass detection with respect to baseline classifiers, even when the match's video conditions of the test and training sets are considerably different. PassNet is the first step towards an automated event annotation system that may break the time and the costs for event annotation, enabling data collections for minor and non-professional divisions, youth leagues and, in general, competitions whose matches are not currently annotated by data providers." @default.
- W4287723737 created "2022-07-26" @default.
- W4287723737 creator A5047189288 @default.
- W4287723737 creator A5059447545 @default.
- W4287723737 creator A5059674609 @default.
- W4287723737 creator A5068819495 @default.
- W4287723737 creator A5072970310 @default.
- W4287723737 date "2020-07-13" @default.
- W4287723737 modified "2023-10-16" @default.
- W4287723737 title "Automatic Pass Annotation from Soccer VideoStreams Based on Object Detection and LSTM" @default.
- W4287723737 doi "https://doi.org/10.48550/arxiv.2007.06475" @default.
- W4287723737 hasPublicationYear "2020" @default.
- W4287723737 type Work @default.
- W4287723737 citedByCount "0" @default.
- W4287723737 crossrefType "posted-content" @default.
- W4287723737 hasAuthorship W4287723737A5047189288 @default.
- W4287723737 hasAuthorship W4287723737A5059447545 @default.
- W4287723737 hasAuthorship W4287723737A5059674609 @default.
- W4287723737 hasAuthorship W4287723737A5068819495 @default.
- W4287723737 hasAuthorship W4287723737A5072970310 @default.
- W4287723737 hasBestOaLocation W42877237371 @default.
- W4287723737 hasConcept C103278499 @default.
- W4287723737 hasConcept C115961682 @default.
- W4287723737 hasConcept C119857082 @default.
- W4287723737 hasConcept C121332964 @default.
- W4287723737 hasConcept C124101348 @default.
- W4287723737 hasConcept C153180895 @default.
- W4287723737 hasConcept C154945302 @default.
- W4287723737 hasConcept C169903167 @default.
- W4287723737 hasConcept C177264268 @default.
- W4287723737 hasConcept C199360897 @default.
- W4287723737 hasConcept C2776151529 @default.
- W4287723737 hasConcept C2776321320 @default.
- W4287723737 hasConcept C2779662365 @default.
- W4287723737 hasConcept C2781238097 @default.
- W4287723737 hasConcept C41008148 @default.
- W4287723737 hasConcept C52622490 @default.
- W4287723737 hasConcept C62520636 @default.
- W4287723737 hasConcept C79158427 @default.
- W4287723737 hasConcept C95623464 @default.
- W4287723737 hasConceptScore W4287723737C103278499 @default.
- W4287723737 hasConceptScore W4287723737C115961682 @default.
- W4287723737 hasConceptScore W4287723737C119857082 @default.
- W4287723737 hasConceptScore W4287723737C121332964 @default.
- W4287723737 hasConceptScore W4287723737C124101348 @default.
- W4287723737 hasConceptScore W4287723737C153180895 @default.
- W4287723737 hasConceptScore W4287723737C154945302 @default.
- W4287723737 hasConceptScore W4287723737C169903167 @default.
- W4287723737 hasConceptScore W4287723737C177264268 @default.
- W4287723737 hasConceptScore W4287723737C199360897 @default.
- W4287723737 hasConceptScore W4287723737C2776151529 @default.
- W4287723737 hasConceptScore W4287723737C2776321320 @default.
- W4287723737 hasConceptScore W4287723737C2779662365 @default.
- W4287723737 hasConceptScore W4287723737C2781238097 @default.
- W4287723737 hasConceptScore W4287723737C41008148 @default.
- W4287723737 hasConceptScore W4287723737C52622490 @default.
- W4287723737 hasConceptScore W4287723737C62520636 @default.
- W4287723737 hasConceptScore W4287723737C79158427 @default.
- W4287723737 hasConceptScore W4287723737C95623464 @default.
- W4287723737 hasLocation W42877237371 @default.
- W4287723737 hasOpenAccess W4287723737 @default.
- W4287723737 hasPrimaryLocation W42877237371 @default.
- W4287723737 hasRelatedWork W10719664 @default.
- W4287723737 hasRelatedWork W11351617 @default.
- W4287723737 hasRelatedWork W14516383 @default.
- W4287723737 hasRelatedWork W2187087 @default.
- W4287723737 hasRelatedWork W4486015 @default.
- W4287723737 hasRelatedWork W6680660 @default.
- W4287723737 hasRelatedWork W7046360 @default.
- W4287723737 hasRelatedWork W8197146 @default.
- W4287723737 hasRelatedWork W8198582 @default.
- W4287723737 hasRelatedWork W9480776 @default.
- W4287723737 isParatext "false" @default.
- W4287723737 isRetracted "false" @default.
- W4287723737 workType "article" @default.