Mobile QR Code QR CODE

REFERENCES

1 
Liu L, Hodgins J. Learning basketball dribbling skills using trajectory optimization and deep reinforcement learning. ACM Transactions on Graphics (TOG), 2018, 37(4): 1-14.DOI
2 
Li B, Xu X. Application of artificial intelligence in basketball sport. Journal of Education, Health and Sport, 2021, 11(7): 54-67.DOI
3 
Liu N, Liu P. Goaling recognition based on intelligent analysis of real-time basketball image of Internet of Things. The Journal of Supercomputing, 2022, 78(1): 123-143.DOI
4 
Tsai W L, Pan T Y, Hu M C. Feasibility study on virtual reality based basketball tactic training . IEEE Transactions on Visualization and Computer Graphics, 2020.DOI
5 
Wen P C, Cheng W C, Wang Y S, et al. Court reconstruction for camera calibration in broadcast basketball videos . IEEE transactions on visualization and computer graphics, 2015, 22(5): 1517-1526.DOI
6 
Kang S Y, Park K H. Design and Implementation of Basketball Game Content based on Unity Game Engine and Android Platform. The Journal of Digital Contents Society, 2020, 21(9): 1567-1573.URL
7 
Min B J. Application of Monte Carlo simulations to improve basketball shooting strategy . Journal of the Korean Physical Society, 2016, 69(7): 1139-1143.DOI
8 
Liu W, Yan C C, Liu J, et al. Deep learning based basketball video analysis for intelligent arena application. Multimedia Tools and Applications, 2017, 76(23): 24983-25001.DOI
9 
Chen W, Lao T, Xia J, et al. Gameflow: narrative visualization of NBA basketball games . IEEE Transactions on Multimedia, 2016, 18(11): 2247-2256.DOI
10 
Yang L, Wang B, Zhang R, et al. Analysis on location accuracy for the binocular stereo vision system . IEEE Photonics Journal, 2017, 10(1): 1-16.DOI
11 
Jia Z, Yang J, Liu W, et al. Improved camera calibration method based on perpendicularity compensation for binocular stereo vision measurement system. Optics express, 2015, 23(12): 15205-15223.DOI
12 
Luo Z, Zhang K, Wang Z, et al. 3D pose estimation of large and complicated workpieces based on binocular stereo vision. Applied Optics, 2017, 56(24): 6822-6836.DOI
13 
Xu P, Ding X, Wang R, et al. Feature-based 3D reconstruction of fabric by binocular stereo-vision. The Journal of The Textile Institute, 2016, 107(1): 12-22.DOI
14 
Wang Y, Wang X. On-line three-dimensional coordinate measurement of dynamic binocular stereo vision based on rotating camera in large FOV. Optics express, 2021, 29(4): 4986-5005.DOI
15 
Xue T, Xu L, Zhang S. Bubble behavior characteristics based on virtual binocular stereo vision. Optoelectronics Letters, 2018, 14(1): 44-47.DOI
16 
Read J C A. Stereo vision and strabismus . Eye, 2015, 29(2): 214-224.DOI
17 
Lemme N J, Li N Y, Kleiner J E, et al. Epidemiology and video analysis of Achilles tendon ruptures in the National Basketball Association . The American Journal of Sports Medicine, 2019, 47(10): 2360-2366.DOI
18 
Losada A G, Therón R, Benito A. Bkviz: A basketball visual analysis tool . IEEE computer graphics and applications, 2016, 36(6): 58-68.DOI
19 
Panagiotakis E, Mok K M, Fong D T P, et al. Biomechanical analysis of ankle ligamentous sprain injury cases from televised basketball games: understanding when, how and why ligament failure occurs . Journal of science and medicine in sport, 2017, 20(12): 1057-1061.DOI
20 
Shih H C. A survey of content-aware video analysis for sports . IEEE Transactions on Circuits and Systems for Video Technology, 2017, 28(5): 1212-1231.DOI
21 
Wang L, Xiong Y, Wang Z, et al. Temporal segment networks for action recognition in videos . IEEE transactions on pattern analysis and machine intelligence, 2018, 41(11): 2740-2755.DOI
22 
Chen C, Jafari R, Kehtarnavaz N. A real-time human action recognition system using depth and inertial sensor fusion . IEEE Sensors Journal, 2015, 16(3): 773-781.DOI
23 
Shahroudy A, Ng T T, Gong Y, et al. Deep multimodal feature analysis for action recognition in rgb+ d videos. IEEE transactions on pattern analysis and machine intelligence, 2017, 40(5): 1045-1058.DOI
24 
Ding S, Qu S, Xi Y, et al. Stimulus-driven and concept-driven analysis for image caption generation . Neurocomputing, 2020, 398: 520-530.DOI
25 
Yu N, Zhai Y, Yuan Y, et al. A bionic robot navigation algorithm based on cognitive mechanism of hippocampus . IEEE Transactions on Automation Science and Engineering, 2019, 16(4): 1640-1652.DOI
26 
Amor B B, Su J, Srivastava A. Action recognition using rate-invariant analysis of skeletal shape trajectories . IEEE transactions on pattern analysis and machine intelligence, 2015, 38(1): 1-13.DOI
27 
Yao Q. Adaptive finite-time sliding mode control design for finite-time fault-tolerant trajectory tracking of marine vehicles with input saturation . Journal of the Franklin Institute, 2020, 357(18): 13593-13619.DOI
28 
Demir B E, Bayir R, Duran F. Real-time trajectory tracking of an unmanned aerial vehicle using a self-tuning fuzzy proportional integral derivative controller . International Journal of Micro Air Vehicles, 2016, 8(4): 252-268.DOI
29 
Zhang Q, Mills J K, Cleghorn W L, et al. Trajectory tracking and vibration suppression of a 3-PRR parallel manipulator with flexible links. Multibody System Dynamics, 2015, 33(1): 27-60.DOI
30 
Bouakrif F, Zasadzinski M. High order iterative learning control to solve the trajectory tracking problem for robot manipulators using Lyapunov theory . Transactions of the Institute of Measurement and Control, 2018, 40(15): 4105-4114.DOI
31 
Podder, P.; Das, S.R.; Mondal, M.R.H.; Bharati, S.; Maliha, A.; Hasan, M.J.; Piltan, F. LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases. Sensors 2023, 23, 480.DOI
32 
Hasan MJ, Sohaib M, Kim J-M. An Explainable AI-Based Fault Diagnosis Model for Bearings. Sensors. 2021; 21(12):4070.DOI