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Volumn 39, Issue 1, 2009, Pages 119-133

Computer Vision-Based Human Body Segmentation and Posture Estimation

Author keywords

Background difference; body posture estimation; Euler number; human body silhouette; moving object segmentation; posture analysis

Indexed keywords


EID: 85008024206     PISSN: 10834427     EISSN: 15582426     Source Type: Journal    
DOI: 10.1109/TSMCA.2009.2008397     Document Type: Article
Times cited : (62)

References (27)
  • 1
    • 11844303486 scopus 로고    scopus 로고
    • Health-status monitoring through analysis of behavioral patterns
    • Jan.
    • T. S. Barger, D. E. Brown, and M. Alwan, “Health-status monitoring through analysis of behavioral patterns,” IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 35, no. 1, pp. 22–27, Jan. 2005.
    • (2005) IEEE Trans. Syst., Man, Cybern. A, Syst., Humans , vol.35 , Issue.1 , pp. 22-27
    • Barger, T.S.1    Brown, D.E.2    Alwan, M.3
  • 2
    • 85008002490 scopus 로고    scopus 로고
    • A probabilistic framework for modeling and real-time monitoring human fatigue
    • Sep.
    • J. Qiang, P. Lan, and C. Looney, “A probabilistic framework for modeling and real-time monitoring human fatigue,” IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 36, no. 5, pp. 862–875, Sep. 2006.
    • (2006) IEEE Trans. Syst., Man, Cybern. A, Syst., Humans , vol.36 , Issue.5 , pp. 862-875
    • Qiang, J.1    Lan, P.2    Looney, C.3
  • 4
    • 36248963489 scopus 로고    scopus 로고
    • Human body posture classification by neural fuzzy network and its application to home care system
    • Nov.
    • C. F. Juang and C. M. Chang, “Human body posture classification by neural fuzzy network and its application to home care system,” IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 37, no. 6, pp. 984–994, Nov. 2007.
    • (2007) IEEE Trans. Syst., Man, Cybern. A, Syst., Humans , vol.37 , Issue.6 , pp. 984-994
    • Juang, C.F.1    Chang, C.M.2
  • 6
    • 85032751607 scopus 로고    scopus 로고
    • Smart video surveillance: Exploring the concept of multiscale spatiotemporal tracking
    • Mar.
    • A. Hampapur et al., “Smart video surveillance: Exploring the concept of multiscale spatiotemporal tracking,” IEEE Signal Process. Mag., vol. 22, no. 2, pp. 38–51, Mar. 2005.
    • (2005) IEEE Signal Process. Mag. , vol.22 , Issue.2 , pp. 38-51
    • Hampapur, A.1
  • 7
    • 33646877447 scopus 로고    scopus 로고
    • Kinematical analysis and measurement of sports form
    • May
    • K. Watanabe and M. Hokari, “Kinematical analysis and measurement of sports form,” IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 36, no. 3, pp. 549–557, May 2006.
    • (2006) IEEE Trans. Syst., Man, Cybern. A, Syst., Humans , vol.36 , Issue.3 , pp. 549-557
    • Watanabe, K.1    Hokari, M.2
  • 9
    • 0034245048 scopus 로고    scopus 로고
    • W4 real-time surveillance of people and their activities
    • Aug.
    • I. Haritaoglu, D. Harwood, and L. S. Davis, “W4 real-time surveillance of people and their activities,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 809–830, Aug. 2000.
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell. , vol.22 , Issue.8 , pp. 809-830
    • Haritaoglu, I.1    Harwood, D.2    Davis, L.S.3
  • 10
    • 33845621016 scopus 로고    scopus 로고
    • Postures of a human wearing a multiple-colored suit based on color information processing
    • Jul.
    • D. W. Kang and J. Ohya, “Postures of a human wearing a multiple-colored suit based on color information processing,” in Proc. Int. Conf. Multimed. Expo., Jul. 2003, vol. 1, pp. 261–264.
    • (2003) Proc. Int. Conf. Multimed. Expo. , vol.1 , pp. 261-264
    • Kang, D.W.1    Ohya, J.2
  • 11
    • 27944479587 scopus 로고    scopus 로고
    • Remarks on human body posture estimation using neural network and Kalman filter
    • Oct.
    • K. Takahashi and M. Naemura, “Remarks on human body posture estimation using neural network and Kalman filter,” in Proc. IEEE Int. Conf. Syst., Man Cybern., Oct. 2005, vol. 3, pp. 2495–2500.
    • (2005) Proc. IEEE Int. Conf. Syst., Man Cybern. , vol.3 , pp. 2495-2500
    • Takahashi, K.1    Naemura, M.2
  • 12
    • 0006669393 scopus 로고    scopus 로고
    • Remarks on a real-time 3D human body posture estimation method using trinocular images
    • K. Takahashi, T. Sakaguchi, and J. Ohya, “Remarks on a real-time 3D human body posture estimation method using trinocular images,” in Proc. 15th Int. Conf. Pattern Recog., 2000, vol. 4, pp. 693–697.
    • (2000) Proc. 15th Int. Conf. Pattern Recog. , vol.4 , pp. 693-697
    • Takahashi, K.1    Sakaguchi, T.2    Ohya, J.3
  • 13
    • 84908328442 scopus 로고    scopus 로고
    • Analysis of human behaviors by computer vision based approaches
    • Aug.
    • J. Ohya, “Analysis of human behaviors by computer vision based approaches,” in Proc. Int. Conf. Multimed. Expo., Aug. 2002, vol. 1, pp. 913–916.
    • (2002) Proc. Int. Conf. Multimed. Expo. , vol.1 , pp. 913-916
    • Ohya, J.1
  • 14
    • 84898476724 scopus 로고    scopus 로고
    • Human posture sequence estimation using two un-calibrated cameras
    • Sep.
    • R. Wang and W. K. Leow, “Human posture sequence estimation using two un-calibrated cameras,” in Proc. Brit. Mach. Vis. Conf, Sep. 2005.
    • (2005) Proc. Brit. Mach. Vis. Conf
    • Wang, R.1    Leow, W.K.2
  • 16
    • 0036647546 scopus 로고    scopus 로고
    • Efficient moving object segmentation algorithm using background registration technique
    • Jul.
    • S. Chien, S. Ma, and L. Chen, “Efficient moving object segmentation algorithm using background registration technique,” IEEE Trans. Circuits Syst. Video Technol., vol. 12, no. 7, pp. 577–586, Jul. 2002.
    • (2002) IEEE Trans. Circuits Syst. Video Technol. , vol.12 , Issue.7 , pp. 577-586
    • Chien, S.1    Ma, S.2    Chen, L.3
  • 18
    • 0028378716 scopus 로고
    • Performance of optical flow techniques
    • Feb.
    • J. Barron, D. Fleet, and S. Beauchemin, “Performance of optical flow techniques,” Int. J. Comput. Vis., vol. 12, no. 1, pp. 42–77, Feb. 1994.
    • (1994) Int. J. Comput. Vis. , vol.12 , Issue.1 , pp. 42-77
    • Barron, J.1    Fleet, D.2    Beauchemin, S.3
  • 19
    • 14844339425 scopus 로고    scopus 로고
    • Image change detection algorithms: A systematic survey
    • Mar.
    • R. J. Radke, S. Andra, O. A. Kofahi, and B. Roysam, “Image change detection algorithms: A systematic survey,” IEEE Trans. Image Process., vol. 14, no. 3, pp. 294–307, Mar. 2005.
    • (2005) IEEE Trans. Image Process. , vol.14 , Issue.3 , pp. 294-307
    • Radke, R.J.1    Andra, S.2    Kofahi, O.A.3    Roysam, B.4
  • 20
    • 0042242571 scopus 로고    scopus 로고
    • Thresholding for change detection
    • P. L. Rosin, “Thresholding for change detection,” Comput. Vis. Image Underst., vol. 86, no. 2, pp. 79–95, 2002.
    • (2002) Comput. Vis. Image Underst. , vol.86 , Issue.2 , pp. 79-95
    • Rosin, P.L.1
  • 21
    • 0037410624 scopus 로고    scopus 로고
    • Real-time thresholding with Euler numbers
    • 9/10, Jun.
    • L. Snidaro and G. L. Foresti, “Real-time thresholding with Euler numbers,” Pattern Recognit. Lett., vol. 24, no. 9/10, pp. 1533–1544, Jun. 2003.
    • (2003) Pattern Recognit. Lett. , vol.24 , pp. 1533-1544
    • Snidaro, L.1    Foresti, G.L.2
  • 23
    • 0015064609 scopus 로고
    • Local properties of binary images in two dimensions
    • May
    • S. B. Gray, “Local properties of binary images in two dimensions,” IEEE Trans. Comput., vol. C-20, no. 5, pp. 551–561, May 1971.
    • (1971) IEEE Trans. Comput. , vol.C-20 , Issue.5 , pp. 551-561
    • Gray, S.B.1
  • 24
    • 0032097277 scopus 로고    scopus 로고
    • A novel method for automatic face segmentation, facial feature extraction and tracking
    • Jun.
    • K. Sobottka and I. Pitas, “A novel method for automatic face segmentation, facial feature extraction and tracking,” Signal Process., Image Commun., vol. 12, no. 3, pp. 263–281, Jun. 1998.
    • (1998) Signal Process., Image Commun. , vol.12 , Issue.3 , pp. 263-281
    • Sobottka, K.1    Pitas, I.2
  • 25
    • 0032651860 scopus 로고    scopus 로고
    • Face segmentation using skin-color map in videophone applications
    • Jun.
    • D. Chai and K. N. Ngan, “Face segmentation using skin-color map in videophone applications,” IEEE Trans. Circuits Syst. Video Technol., vol. 9, no. 4, pp. 551–564, Jun. 1999.
    • (1999) IEEE Trans. Circuits Syst. Video Technol. , vol.9 , Issue.4 , pp. 551-564
    • Chai, D.1    Ngan, K.N.2
  • 26
    • 0035546355 scopus 로고    scopus 로고
    • Color image segmentation: Advances and prospects
    • Sep.
    • H. D. Cheng, X. H. Jiang, Y. Sun, and J. Wang, “Color image segmentation: Advances and prospects,” Int. J. Pattern Recognit., vol. 34, no. 12, pp. 2259–2281, Sep. 2000.
    • (2000) Int. J. Pattern Recognit. , vol.34 , Issue.12 , pp. 2259-2281
    • Cheng, H.D.1    Jiang, X.H.2    Sun, Y.3    Wang, J.4
  • 27
    • 36248987406 scopus 로고    scopus 로고
    • Fuzzy systems learned through fuzzy clustering and support vector machine for human skin color segmentation
    • Nov.
    • C. F. Juang, S. H. Shiu, and S. J. Shiu, “Fuzzy systems learned through fuzzy clustering and support vector machine for human skin color segmentation,” IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 37, no. 6, pp. 1077–1087, Nov. 2007.
    • (2007) IEEE Trans. Syst., Man, Cybern. A, Syst., Humans , vol.37 , Issue.6 , pp. 1077-1087
    • Juang, C.F.1    Shiu, S.H.2    Shiu, S.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.