Page 50 - 《上海体育大学学报》2024年第4期
P. 50

所向, 唐伟棣, 李旭辉, 等. 现代足球智能监控技术前沿与应用


                summarization  using  deep  learning[C]//2019  IEEE  Multimedia  and  Expo.  August  26-29, 2002, Lausanne,
                Conference  on  Multimedia  Information  Processing  and  Switzerland. IEEE,2002:45-48
                Retrieval (MIPR). March 28-30,2019,San Jose,CA,USA.  [19]   WANG J B,TAN S J,ZHEN X T,et al. Deep 3D human
                IEEE,2019:270-273                                   pose estimation:A review[J]. Computer Vision and Image
          [  7  ]   ZHAO  Z  Q, ZHENG  P, XU  S  T, et  al.  Object  detection  Understanding,2021,210:103225
                with  deep  learning: A  review[J].  IEEE  Transactions  on  [20]   ROMADON Z T,OKTAVIANTO H,WIBOWO I K,et al.
                Neural  Networks  and  Learning  Systems, 2019, 30(11):  Pose  estimation  on  soccer  robot  using  data  fusion  from
                3212-3232                                           encoders, inertial  sensor, and  image  data[C]//2019
          [  8  ]   ZOU  Z, CHEN  K, SHI  Z, et  al.  Object  detection  in  20  International Electronics Symposium (IES). September 27-
                years: A  survey[J/OL].  Proceedings  of  the  IEEE, 2023,  28,2019,Surabaya,Indonesia. IEEE,2019:454-459
                111(3): 257-276[2023-11-20].  DOI: 10.1109/JPROC.  [21]   CITRARO  L, MÁRQUEZ-NEILA  P, SAVARÈ  S, et  al.
                2023.3238524                                        Real-time  camera  pose  estimation  for  sports  fields[J].
          [  9  ]   PADILLA R,NETTO S L,DA SILVA E A B. A survey on  Machine Vision and Applications,2020,31(3):1-13
                performance  metrics  for  object-detection  algorithms[C]//  [22]   FANI M,VATS K,DULHANTY C,et al. Pose-Projected
                2020  International  Conference  on  Systems, Signals  and  Action  Recognition  Hourglass  Network  (PARHN)  in
                Image  Processing  (IWSSIP).  July  1-3, 2020, Niteroi,  soccer[C/OL]//2019  16th  Conference  on  Computer  and
                Brazil. IEEE,2020:237-242                           Robot Vision (CRV). IEEE Computer Society,2019:201-
          [10]   NAJEEB H D,GHANI R F. A survey on object detection  208[2023-03-09]. https://www.computer.org/csdl/proceed
                and tracking in soccer videos[J]. Muthanna Journal of Pure  ings-article/crv/2019/183800a201/1cMGvzrZpeg.  DOI: 10.
                Science,2021,8(1):1-13                              1109/CRV.2019.00035
          [11]   LUO  W  H, XING  J  L, MILAN  A, et  al.  Multiple  object  [23]   DIFINI G M,MARTINS M G,BARBOSA J L V. Human
                tracking: A  literature  review[J].  Artificial  Intelligence,  pose  estimation  for  training  assistance: A  systematic
                2021,293:103448                                     literature   review[C]//Proceedings   of   the   Brazilian
          [12]   SOLEIMANITALEB  Z, ALI  KEYVANRAD  M, JAFARI       Symposium on Multimedia and the Web. November 5 - 12,
                A.  Object  tracking  methods: A  review[C]//2019  9th  2021, Belo  Horizonte, Minas  Gerais, Brazil.  New  York:
                International  Conference  on  Computer  and  Knowledge  ACM,2021:189–196
                Engineering  (ICCKE).  October  24-25, 2019, Mashhad,  [24]   TU  H  Y, WANG  C  Y, ZENG  W  J.  VoxelPose: Towards
                Iran. IEEE,2020:282-288                             multi-camera  3D  human  pose  estimation  in  wild
          [13]   ZHANG Y C,WANG T,LIU K X,et al. Recent advances    environment[C]//European  Conference  on  Computer
                of  single-object  tracking  methods: A  brief  survey[J].  Vision. Cham:Springer,2020:197-212
                Neurocomputing,2021,455:1-11                  [25]   LABBÉ Y,CARPENTIER J,AUBRY M,et al. CosyPose:
          [14]   CIAPARRONE G,LUQUE SÁNCHEZ F,TABIK S,et al.        consistent multi-view multi-object 6D pose estimation[C]//
                Deep learning in video multi-object tracking:A survey[J].  European Conference on Computer Vision. Cham:Springer,
                Neurocomputing,2020,381:61-88                       2020:574-591
          [15]   PARK  Y, DANG  L  M, LEE  S  J, et  al.  Multiple  object  [26]   JI X P,FANG Q,DONG J T,et al. A survey on monocular
                tracking  in  deep  learning  approaches: A  survey[J].  3D human pose estimation[J]. Virtual Reality & Intelligent
                Electronics,2021,10(19):2406                        Hardware,2020,2(6):471-500
          [16]   ROMEAS  T, GULDNER  A, FAUBERT  J.  3D-Multiple  [27]   ZHANG  H  B, ZHANG  Y  X, ZHONG  B  N, et  al.  A
                Object  Tracking  training  task  improves  passing  decision-  comprehensive  survey  of  vision-based  human  action
                making accuracy in soccer players[J]. Psychology of Sport  recognition methods[J]. Sensors,2019,19(5):1005
                and Exercise,2016,22:1-9                      [28]   SUN  Z  H, KE  Q  H, RAHMANI  H, et  al.  Human  action
          [17]   HARENBERG S,MCCARVER Z,WORLEY J,et al. The         recognition  from  various  data  modalities: A  review[J].
                effectiveness  of  3D  multiple  object  tracking  training  on  IEEE  Transactions  on  Pattern  Analysis  and  Machine
                decision-making  in  soccer[J].  Science  and  Medicine  in  Intelligence,2023,45(3):3200-3225
                Football,2022,6(3):355-362                    [29]   JEGHAM I,BEN KHALIFA A,ALOUANI I,et al. Vision-
          [18]   UTSUMI O,MIURA K,IDE I,et al. An object detection  based  human  action  recognition: An  overview  and  real
                method  for  describing  soccer  games  from  video[C]//  world challenges[J]. Forensic Science International:Digital
                Proceedings  of  IEEE  International  Conference  on  Investigation,2020,32:200901
           46
   45   46   47   48   49   50   51   52   53   54   55