Abstract
We give a brief overview of dynamic scene analysis and then concentrate on one of its major difficulties: motion/structure estimation from image sequences. It is seen that though typical dynamic scenes contain multiple moving objects which may not be rigid, even the simplest problem of motion estimation, that of two-view motion analysis of a single rigid object has not been satisfactorily resolved. Much remains to be done.
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References
T. S. Huang (ed.), Image Sequence Processing and Dynamic Scene Analysis, Springer-Verlag: Heidelberg, 1983.
M. D. Levine, P. B. Nobel, and Y. M. Youssef, “A rule-based system for characterizing blood cell motion,” in Ref. 1.
J. K. Tsotses, J. Mylopoulos, H. D. Corvey, and S. W. Zucker, “A framework for visual motion understanding,” IEEE Trans. PAMI, vol. 2, no. 6, pp. 563–573, Nov. 1980.
J. O’Rourke and N. Badler, “Model-based image analysis of human motion using constraint propagation,” IEEE Trans. PAMI 2, 522–536 (1980).
B. Neumann, “Natural language description of time-varying scenes,” Bericht nr. 105, FB1-HH-B-105/84, Aug. 1984, Fachberich Informatik, Univ. Hamburg, W. Germany.
G. C. Borchardt, “A computer model for the representation and identification of physical events,” Tech. Rep. T-142, Coordinated Science Laboratory, Univ. of Illinois, Urbana, IL, May 1984.
T.S. Huang, Motion Analysis, in “Artificial Intelligence Encylopedia,” Wiley. 1987, pp. 620–632.
J. Q. Fang and T. S. Huang, “A corner finding algorithm for image analysis and registration,” Proc. AAAI-82, Pittsburgh, PA, Aug. 18–20, 1982, pp. 46–49.
H. P. Moravec. “Obstacle avoidance and navigation in the real world by a seeing robot rover,” Ph. D. dissertation, Stanford Univ., Sept. 1980.
J. Q. Fang and T. S. Huang, “Some experiments on estimating the 3-D motion parameters of a rigid body from two consecutive image frames,” IEEE Trans. on PAMI, vol. 6, no. 5, pp. 547–555, Sept. 1984.
W. K. Gu, J. Y. Yang, and T. S. Huang, “Matching perspective views of a 3-D object using composite circuits” Proc. 7th ICPR, July 30–Aug. 2, 1984.
H. C. Longuet-Higgins, “A computer program for reconstructing a scene from two projections,” Nature, vol. 293, pp. 133–135, Sept. 1981.
R. Y. Tsai and T. S. Huang, “Uniqueness and estimation of 3-D motion parameters of rigid bodies with curved surfaces,” IEEE Trans. PAMI, vol. 6, no.1, pp. 13–27, Jan. 1984.
H. C. Longuet-Higgins, “The reconstruction of a scene from two projections-configurations that defeat the 8-point algorithm,” Proc. 1st Conf. Artificial Intelligence Applications, Dec. 5–7, 1984, Denver, CO, pp. 395–397.
J. K. Cheng and T. S. Huang, “Image registration by matching relational structures,” Pattern Recognition, vol. 17, no. 1. pp. 149–160, 1984.
O.D. Faugeras, F. Lustman, and G. Toscasi, Motion and structure from motion from points and lines, Proc. 1st. Int. Conf. Computer Vision, June 8–11, 1987, London, England.
Y.C. Liu and T.S. Huang, “Estimation of rigid body motion using straight-line correspondences,” Proceedings of IEEE Workshop on Motion: Representation and Analysis, May 7–9, 1986, Kiawah Island, SC., pp. 47–52.
M.E. Spaetsakis and J. Aloimonos, Closed form solution to the structure from motion problem form line correspondences, Tech. Rept. CAR-TR-374, Center for Automation Research, Univ. of Maryland, March 1987.
Y.C. Liu and T.S. Huang, A linear algorithm for motion estimation using straight line correspondences, Technical Note ISP-309, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, April 15, 1987.
H.H. Chen and T.S. Huang, Multiple object motion determination by matching 3-D points, to appear in Pattern Recognition.
H.H. Chen and T.S. Huang, “Multiple object motion estimation by matching 3-D line segments,” Technical Note ISP-120, December 15, 1986; Coordinated Science Laboratory, University of Illinois at Urbana-Champaign.
T.S. Huang, J. Weng, and N. Ahuja, 3-D motion from Image sequences: modeling, understanding, and prediction. Proceedings of IEEE Workshop on Motion: Representation and Analysis, May 7–9, 1986, Kiawah Island, SC., pp. 125–130.
S. S. Chen, “Shape and correspondence of nonrigid objects,” in “Advances in Computer Vision and Image Processing, Vol. 3” ed. by T.S. Huang, JAI Press, 1987.
J. Weng, T.S. Huang, and N. Ahuja, Error analysis of linear algorithm for motion estimation, in Proc. 1st Int. Conf. Computer Vision, June 8–11, 1987, London, England.
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Huang, T.S. (1987). Dynamic Scene Analysis and Motion Estimation. In: Meyer-Ebrecht, D. (eds) ASST ’87 6. Aachener Symposium für Signaltheorie. Informatik-Fachberichte, vol 153. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-73015-3_11
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DOI: https://doi.org/10.1007/978-3-642-73015-3_11
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