Добавил:
Опубликованный материал нарушает ваши авторские права? Сообщите нам.
Вуз: Предмет: Файл:

Методы оценки состояния опорно-двигательного аппарата в телемедицинских системах физической реабилитации. Учебное пособие

.pdf
Скачиваний:
0
Добавлен:
12.08.2026
Размер:
957 Кб
Скачать

79

60.G. Rogez, J. Rihan, S. Ramalingam, C. Orrite, and P. Torr. Randomized trees for human pose detection. In Proc. CVPR, 2008. 2

61.G. Shakhnarovich, P. Viola, and T. Darrell. Fast pose estimation with parameter sensitive hashing. In Proc. ICCV, 2003. 2

62.T. Sharp. Implementing decision trees and forests on a GPU. In Proc. ECCV, 2008. 1, 4

63.B. Shepherd. An appraisal of a decision tree approach to image classification. In IJCAI, 1983. 4

64.J. Shotton, M. Johnson, and R. Cipolla. Semantic texton forests for image categorization and segmentation. In Proc. CVPR, 2008. 4

65.M. Siddiqui and G. Medioni. Human pose estimation from a single view point, real-time range sensor. In CVCG at CVPR, 2010. 1, 2

66.H. Sidenbladh, M. Black, and L. Sigal. Implicit probabilistic models of human motion for synthesis and tracking. In ECCV, 2002. 2

67.L. Sigal, S. Bhatia, S. Roth, M. Black, and M. Isard. Tracking looselimbed people. In Proc. CVPR, 2004. 1, 2

68.Z. Tu. Auto-context and its application to high-level vision tasks. In Proc. CVPR, 2008. 2

69.R. Urtasun and T. Darrell. Local probabilistic regression for activityindependent human pose inference. In Proc. CVPR, 2008. 2

70.R. Wang and J. Popovic. Real-time hand-tracking with a color glove. In Proc. ACM SIGGRAPH, 2009. 1, 2

71.J. Winn and J. Shotton. The layout consistent random field for recognizing and segmenting partially occluded objects. In Proc. CVPR, 2006. 1

72.Gu, J., Ding, X., Wang, S., Wu, Y.: Action and gait recognition from recovered 3-d human joints. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Trans. on 40(4), 1021–1033 (2010)

73.J. Shotton et al., Real-Time Human Pose Recognition in Parts from a Single Depth Image, Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR), IEEE CS Press, 2011, pp. 12971304.

74.S. Izadi et al., Kinect Fusion: Real-Time Dynamic 3D Surface Reconstruction and Interaction, Proc. ACM SIGGRAPH, 2011.

75.W. Li, Z. Zhang, and Z. Liu, Action Recognition Based on A Bag of 3D Points,Proc. IEEE Int’l Workshop on CVPR for Human Communicative Behavior Analysis (CVPR4HB), IEEE CS Press, 2010, pp. 914.

76.Z. Ren, J. Yuan, and Z. Zhang, Robust Hand Gesture Recognition Based on Finger-Earth Movers Distance with a Commodity Depth

80

Camera, Proc. 19th ACM Int’l Conf. Multimedia (ACM MM), ACM

Press, 2011, pp. 10931096.

77.Ballan, L., Bertini, M., Del Bimbo, A., Seidenari, L., Serra, G.: Eff ective codebooks for human action representation and classification in unconstrained videos. Multimedia, IEEE Transactions on 14(4), 1234–1245 (2012)

78.Isaac Cohen, Hongxia Li, Inference of Human Postures by Classification of 3D Human Body Shape, International Workshop on Analysis and Modeling of Faces and Gestures, pp. 74 – 81, 2003.

79.D. M. Gavrila and L. S. Davis. Towards 3-D ModelBased Tracking and Recognition of Human Movement: a Multi-View Approach, International Workshop on Automatic Faceand Gesture-

Recognition”, pp.272-277, 1995.

80.Rabiner, L.R. A tutorial on hidden markov models and selected applications in speech recognition. Proc. of the IEEE 77(2), 257–286 (1989)

81.T. F. Syeda-Mahmood, M. Vasilescu, and S. Sethi. Recognizing action events from multiple viewpoints. IEEE Workshop on Detection and Recognition of Events in Video, pp. 64–72, 2001.

Соседние файлы в предмете [НЕСОРТИРОВАННОЕ]