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When these actions are performed by subjects that do not interact with each other, the events are usually classified as simple. Instead, when any kind of interaction occurs among subjects, the involved events are typically classified as complex. This survey starts by providing the formal definitions of both scene and event, and the logical architecture for a generic event recognition system. Subsequently, it presents two taxonomies based on features and machine learning algorithms, respectively, which are used to describe the different approaches for the recognition of events within a video sequence. This paper also discusses key works of the current state-of-the-art of event recognition, providing the list of datasets used to evaluate the performance of reported methods for video content understanding.<\/jats:p>","DOI":"10.3233\/ica-210652","type":"journal-article","created":{"date-parts":[[2021,4,6]],"date-time":"2021-04-06T12:53:15Z","timestamp":1617713595000},"page":"309-332","source":"Crossref","is-referenced-by-count":9,"title":["Machine learning for video event recognition"],"prefix":"10.1177","volume":"28","author":[{"given":"Danilo","family":"Avola","sequence":"first","affiliation":[{"name":"Department of Computer Science, Sapienza University of Rome, Rome 00198, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marco","family":"Cascio","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Sapienza University of Rome, Rome 00198, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luigi","family":"Cinque","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Sapienza University of Rome, Rome 00198, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gian Luca","family":"Foresti","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Computer Science and Physics, University of Udine, Udine 33100, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniele","family":"Pannone","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Sapienza University of Rome, Rome 00198, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"3","key":"10.3233\/ICA-210652_ref1","doi-asserted-by":"crossref","first-page":"317","DOI":"10.3233\/ICA-200625","article-title":"Content based image retrieval by ensembles of deep learning object classifiers","volume":"27","author":"Hamreras","year":"2020","journal-title":"Integrated Computer-Aided Engineering"},{"issue":"5","key":"10.3233\/ICA-210652_ref2","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1111\/mice.12425","article-title":"Image-based post-disaster inspection of reinforced concrete bridge systems using deep learning with Bayesian optimization","volume":"34","author":"Liang","year":"2019","journal-title":"Computer-Aided Civil and Infrastructure Engineering"},{"key":"10.3233\/ICA-210652_ref3","doi-asserted-by":"crossref","unstructured":"Guo X, Polan\u00eda LF, Zhu B, Boncelet C, Barner KE. 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