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Vehicle-Type Motion Estimation From Multi-Frame Images
August 1993 (vol. 15 no. 8)
pp. 802-808

A model for vehicle-type motion, which assumes that the motion is a rotation around an axis through the vehicle center followed by a forward translation along the main axis of the vehicle, is proposed. When the rotation and the amplitude of translation are constant, this type of motion is shown to be equivalent to a constant camera-centered motion. This indicates that a constant motion in the conventional camera-centered model, which is commonly considered to be artificial, can in fact be a reasonable model in real life. It is shown that a constant vehicle-type motion can be interpreted as a constant screw motion. A linear algorithm for estimating constant vehicle-type motion is presented, and experiments using real scene images are included. As an extension, vehicle-type motion with constant rotation and constantly accelerated translation is discussed.

[1] 802H. Shariat and K. Price, "Motion estimation with more than two frames,"IEEE Trans. Patt. Anal. Machine Intell., vol. 12. no. 5. pp. 417-434, May 1990.[2] J. Weng, T.S. Huang, and N. Ahuja, "3-D motion estimation, understanding, and prediction from noisy image sequences,"IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-9, no. 3, 1987.[3] R. Y. Tsai and T. S. Huang, "Uniqueness and estimation of three-dimensional motion parameters of rigid objects with curved surfaces,"IEEE Trans. Patt. Anal. Mach. Intell., vol. PAMI-6, no. 1, Jan. 1984.[4] H.C. Longuet-Higgins, "A computer program for reconstructing a scene from two projections,"Nature, vol. 293, pp. 133-135, Sept. 1981.[5] J. W. Roach and J. K. Aggarwal, "Determining the movement of objects from a sequence of image,"IEEE Trans. Patt. Anal. Machine Intell., vol. PAMI-2, no. 6, pp. 554-562, 1980.[6] X. Zhuang, T. S. Huang, and R. M. Haralick, "Two-view motion analysis: A unified algorithm,"J. Opt. Soc. Amer., vol. 3, no. 9, pp. 1429-1500, Sept. 1986.[7] J. Weng, N. Ahuja, and T. S. Huang, "Error analysis of motion parameter estimation from image sequence," inProc. Int. Conf. Comput. Vision(London), June 1987[8] K. Price, "Multi-frame feature based motion analysis," inProc. Int. Conf. Patt. Recogn., June 1990, pp. 114-117.[9] T. Broida and R. Chellappa, "Estimation of object motion parameters from noisy images,"IEEE Trans. Pattern Anal. Machine Intell, vol. PAMI-8, no. 1, Jan. 1986.[10] T. J. Broida, S. Chandrashekhar, and R. Chellappa, "Recursive estimation of 3-D kinematics and structure from noisy monocular image sequences,"IEEE Trans. Aerosp. Electron. Syst., vol. AES-26, pp. 639-656, Aug. 1990.[11] Y. Yasumoto and G. Medioni, "Robust estimation of three-dimensional motion parameters from a sequence of image frames using regularization,"IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-8, pp. 464-471, 1986.[12] M. Chasles, "Note sue les proprièès générales du système de deux corpssemblables entre eux, placés d'une manière quelconque dans l'espace; et sue le deplacement fini, ou infiniment petit d'un corps solide libre",Bulletin des Sciences Mathématiques de Férussac, vol. XIV, pp. 321-326, 1831.[13] E. M. Mikhail and F. C. Paderes, "Photoglammetric series of moving vehicle," Sci. Service Program DAAL03-86-0001(0863), CAI-RI, U. S. Army ETL, Fort Belvoir, VA, 22 060-5546, Nov. 1988.[14] T.S. Huang, "Determining three-dimensional motion and structure from two perspective views," inHandbook of Pattern Recognition and Image Processing(T. Young and K. S. Fu, Eds.). New York: Academic, 1986.

Index Terms:
vehicle type motion estimation; multiframe images; image sequences; forward translation; constant screw motion; linear algorithm; image sequences; motion estimation
Citation:
Y. Liu, T.S. Huang, "Vehicle-Type Motion Estimation From Multi-Frame Images," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 8, pp. 802-808, Aug. 1993, doi:10.1109/34.236249
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