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ISRN Machine Vision
Volume 2012 (2012), Article ID 235396, 11 pages
3D Human Motion Tracking and Reconstruction Using DCT Matrix Descriptor
Electrical Engineering Department, Faculty of Engineering, Shahed University, Tehran 33191-18651, Iran
Received 30 January 2012; Accepted 19 February 2012
Academic Editors: C.-C. Han and J. Heikkilä
Copyright © 2012 Alireza Behrad and Nadia Roodsarabi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- P. Treleaven and J. Wells, “3D body scanning and healthcare applications,” Computer, vol. 40, no. 7, pp. 28–34, 2007.
- P. Kelly, C. O. Conaire, J. Hodgins, and N. E. O’Connor, “Human motion reconstruction using wearable accelerometers,” in Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA '10), Madrid, Spain, 2010.
- R. Poppe, “Vision-based human motion analysis: an overview,” Computer Vision and Image Understanding, vol. 108, no. 1-2, pp. 4–18, 2007.
- Y. K. Wang and K. Y. Cheng, “A two-stage Bayesian network method for 3D human pose estimation from monocular image sequences,” EURASIP Journal on Advances in Signal Processing, vol. 2010, Article ID 761460, 2010.
- C. Barrón and I. A. Kakadiaris, “Estimating anthropometry and pose from a single uncalibrated image,” Computer Vision and Image Understanding, vol. 81, no. 3, pp. 269–284, 2001.
- C. Sminchisescu and B. Triggs, “Kinematic jump processes for monocular 3D human tracking,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '03), pp. 69–76, Rhone-Alpes, France, 2003.
- C. Chen, Y. Zhuang, and J. Xiao, “Towards robust 3D reconstruction of human motion from monocular video,” in Lecture Notes in Computer Science: Advances in Artificial Reality and Tele-Existence, Z. Pan, A. Cheok, M. Haller, R. Lau, H. Saito, and R. Liang, Eds., pp. 594–603, Springer, Berlin, Germany, 2006.
- G. Loy, M. Eriksson, J. Sullivan, and S. Carlsson, “Monocular 3D reconstruction of human motion in long action sequences,” in Lecture Notes in Computer Science: Computer Vision-ECCV, T. Pajdla and J. Matas, Eds., vol. 3024, pp. 442–445, Springer, Berlin, Germany, 2004.
- G. Mori and J. Malik, “Estimating human body configurations using shape context matching,” in Lecture Notes in Computer Science: Computer Vision-ECCV, A. Heyden, G. Sparr, M. Nielsen, and P. Johansen, Eds., pp. 150–180, Springer, Berlin, Germany, 2002.
- A. Kanaujia, C. Sminchisescu, and D. Metaxas, “Semi-supervised hierarchical models for 3D human pose reconstruction,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '07), pp. 1–8, Minneapolis, Minn, USA, June 2007.
- R. Rosales and S. Sclaroff, “Learning and synthesizing human body motion and posture,” in Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition, pp. 506–511, Grenoble, France, 2000.
- C. J. Taylor, “Reconstruction of articulated objects from point correspondences in a single uncalibrated image,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '00), pp. 677–684, Hilton Head Island, SC, USA, June 2000.
- G. Mori and J. Malik, “Recovering 3D human body configurations using shape contexts.,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28, no. 7, pp. 1052–1062, 2006.
- M. J. Park, M. G. Choi, Y. Shinagawa, and S. Y. Shin, “Video-guided motion synthesis using example motions,” ACM Transactions on Graphics, vol. 25, no. 4, pp. 1327–1359, 2006.
- I. Mikic, M. Trivedi, E. Hunter, and P. Cosman, “Articulated body posture estimation from multi-camera voxel data,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '01), pp. 455–460, Kauai, Hawaii, USA, 2001.
- S. Iwasawa, J. Ohya, K. Takahashi, T. Sakaguchi, S. Morishima, and K. Ebihara, “Human body postures from trinocular camera images,” in Proceedings of the 4th IEEE International Conference on Automatic Face and Gesture Recognition, pp. 326–331, Grenoble, France, 2000.
- A. Hilton, D. Beresford, T. Gentils, R. Smith, W. Sun, and J. Illingworth, “Whole-body modelling of people from multiview images to populate virtual worlds,” Visual Computer, vol. 16, no. 7, pp. 411–436, 2000.
- R. Plänkers and P. Fua, “Tracking and modeling people in video sequences,” Computer Vision and Image Understanding, vol. 81, no. 3, pp. 285–302, 2001.
- R. Plankers, P. Fua, and N. D'Apuzzo, “Automated body modeling from video sequences,” in Proceedings of the IEEE International Workshop on Modelling People, pp. 45–52, Kerkyra, Greece, 1999.
- G. K. M. Cheung, T. Kanade, J. Y. Bouguet, and M. Holler, “A real time system for robust 3D voxel reconstruction of human motions,” in Proceedings of the IEEE Conference onComputer Vision and Pattern Recognition, pp. 714–720, Hilton Head Island, SC , USA, 2002.
- M. J. Park, M. G. Choi, and S. Y. Shin, “Human motion reconstruction from inter-frame feature correspondences of a single video stream using a motion library,” in Proceedings of the ASM SIGGRAPH Symposium on Computer Animation (SCA '02), pp. 113–120, July 2002.
- D. G. Lowe, “Distinctive image features from scale-invariant keypoints,” International Journal of Computer Vision, vol. 60, no. 2, pp. 91–110, 2004.
- G. Qian and F. Guo, “Monocular 3D tracking of articulated human motion in silhouette and pose manifolds,” EURASIP Journal on Image and Video Processing, vol. 2008, Article ID 326896, 2008.
- K. Rohr, “Towards model-based recognition of human movements in image sequences,” CVGIP: Image Understanding, vol. 59, no. 1, pp. 94–115, 1994.
- N. Roodsarabi and A. Behrad, “3D human motion reconstruction using video processing image and signal processing,” in Proceedings of the 3rd international conference on Image and Signal Processing (ICISP '08), pp. 386–395, Cherbourg-Octeville, France, 2008.
- J. Y. Bouguet, “Pyramidal implementation of the lucas kanade feature tracker description of the algorithm,” Intel Corporation, Microprocessor Research Labs, OpenCV Documents, 1999.
- F. Remondino and A. Roditakis, “3D reconstruction of human skeleton from single images or monocular video sequences,” in Lecture Notes in Computer Science: Pattern Recognition, B. Michaelis and G. Krell, Eds., vol. 2781, pp. 100–107, Springer, Berlin, Germany, 2003.
- CMU Graphics Lab Motion Capture Database, http://mocap.cs.cmu.edu/.
- G. Mori, S. Belongie, and J. Malik, “Shape contexts enable efficient retrieval of similar shapes,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '01), pp. 723–730, Kauai, Hawaii, USA, December 2001.