{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T04:04:54Z","timestamp":1787025894976,"version":"build-2736575974"},"reference-count":32,"publisher":"SAGE Publications","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2021,2,2]]},"abstract":"<jats:p>The traditional sports match analysis mostly adopts the method of manual observation and recording, which is not only time-consuming and laborious but also has the defects of subjectivity and inaccuracy in the judgment results, resulting in the deviation of the match data analysis and statistical results. The purpose of this paper is to study an artificial intelligence system that can automatically analyze and evaluate the effect of both sides in volleyball matches. In this paper, the system is divided into two steps: detection and tracking of moving objects, recognition, and classification of players\u2019 behaviors and movements. About moving target detection and tracking, this paper proposes a moving target fast detection framework based on a mixture of mainstream technologies and a MeanShift target tracking method based on Kalman filtering and adaptive target region size. For behavior and action recognition and classification, this paper proposes a classifier combining BP neural network and support vector machine. Experimental results show that the proposed algorithm and classifier are effective. By analyzing the performance of the proposed classifier, the classification accuracy is 98%.<\/jats:p>","DOI":"10.3233\/jifs-189346","type":"journal-article","created":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T15:26:28Z","timestamp":1601393188000},"page":"3075-3084","source":"Crossref","is-referenced-by-count":9,"title":["Artificial intelligence system based on the\u00a0layout effect of both sides in volleyball matches"],"prefix":"10.1177","volume":"40","author":[{"given":"Kai","family":"Zhao","sequence":"first","affiliation":[{"name":"Beijing Sport University, China Volleyball Sport College, Haidian, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Jiang","sequence":"additional","affiliation":[{"name":"Beijing Sport University, China Volleyball Sport College, Haidian, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinlong","family":"Jin","sequence":"additional","affiliation":[{"name":"Beijing Sport University, China Volleyball Sport College, Haidian, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuming","family":"Xiao","sequence":"additional","affiliation":[{"name":"Beijing Sport University, China Volleyball Sport College, Haidian, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","reference":[{"issue":"2","key":"10.3233\/JIFS-189346_ref1","doi-asserted-by":"crossref","first-page":"35","DOI":"10.26773\/mjssm.2017.09.005","article-title":"A comprehensive mapping of high-level men\u2019s volleyball gameplay through social network analysis: Analysing serve, side-out, side-out transition and transition","volume":"6","author":"Loureiro","year":"2017","journal-title":"Montenegrin Journal of Sports ence & Medicine"},{"issue":"6","key":"10.3233\/JIFS-189346_ref2","doi-asserted-by":"crossref","first-page":"663","DOI":"10.5007\/1980-0037.2017v19n6p663","article-title":"Association between the effect of reception and game procedures in high-level Brazilian volleyball: The case of the women\u2019s \u201cSuperliga\u201d champion team","volume":"17","author":"Costa","year":"2018","journal-title":"Revista Brasileira de Cineantropometria e Desempenho Humano"},{"issue":"1","key":"10.3233\/JIFS-189346_ref3","first-page":"21","article-title":"Effects of the game process on the perception of \u201cstreaks\u201d in volleyball games","volume":"62","author":"Asai,","year":"2017","journal-title":"Taiikugaku Kenkyu"},{"issue":"4","key":"10.3233\/JIFS-189346_ref4","doi-asserted-by":"crossref","first-page":"2305","DOI":"10.3233\/JIFS-17348","article-title":"Optimizing robot path in dynamic environments using genetic algorithm and bezier curve","volume":"33","author":"Elhoseny","year":"2017","journal-title":"Journal of Intelligent & Fuzzy Systems"},{"issue":"2","key":"10.3233\/JIFS-189346_ref5","first-page":"173","article-title":"Association between the in-game role of the player, decision-making and performance in volleyball","volume":"27","author":"Conejero","year":"2017","journal-title":"Revista De Psicologia Del Deporte"},{"issue":"10","key":"10.3233\/JIFS-189346_ref6","doi-asserted-by":"crossref","first-page":"1850033","DOI":"10.1142\/S0218001418500337","article-title":"Multi-view hierarchical bidirectional recurrent neural network for depth video sequence-based action recognition","volume":"32","author":"Liu","year":"2018","journal-title":"International Journal of Pattern Recognition and Artificial Intelligence"},{"key":"10.3233\/JIFS-189346_ref7","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1016\/j.jvcir.2019.01.029","article-title":"Multi-camera transfer GAN for person re-identification","volume":"59","author":"Zhou","year":"2019","journal-title":"J. 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