Abstract
This chapter provides an insight into the problems encountered in image sequence analysis when the viewed scene contains several objects all of which may be moving. A major emphasis is on the interaction of object images resulting from viewpoint placement and object movement. The interaction that concerns us here is the occlusion of some part of an object by other objects or even by other parts of the same object. Our discussion begins with the problems of interpreting single images containing occluded objects and then turns to the implications of occlusion on image sequence analysis. Further problems encountered in image sequence analysis will then be emphasized through the description of those problems as they have arisen in specific systems. Foremost among these problems is the identification, throughout the image sequence, of objects in spite of their continually changing appearance. Also important are the computational implications for attempting to process the flux of information presented by an image sequence.
This research was supported in part by the Air Force Office of Scientific Research under grant AFOSR 77–3190
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References
H.G. Barrow, J.M. Tenenbaum: “Recovering Intrinsic Scene Characteristics from Images,” in Computer Vision Systems, ed. by A. Hanson, E. Riseman (Academic, New York 1978)
D. Waltz: “Understanding Line Drawings of Scenes with Shadows,” in Psychology of Computer Vision, ed. by P.H. Winston (McGraw-Hill, New York 1975) pp.19–92
D. Huffman: “Impossible Objects as Nonsense Sentences,” in Machine Intelligence 6, ed. by B. Meltzer, D. Michie (Edinburgh Univ. Press, Edinburgh, Scotland 1971)
M. Clowes: On seeing things. Artif. Intell. 2, 79–116 (1971)
A. Rosenfeld, R. Hummel, S. Zucker: Scene labelling using relaxation operations. IEEE Trans. SMC-6, 420–433 (1976)
F.W. Mounts: A video encoding system with conditional picture-element replenishment. Bell Syst. Tech. J. 48, 2545–2554 (1969)
S.A. Underwood, C.L. Coates: Visual learning from multiple views. IEEE Trans. C-24, 651–661 (1975)
A. Guzmán: “Decomposition of a Visual Scene into Three-Dimensional Bodies,” in Computer Methods in Image Analysis, ed. by J.K. Aggarwal, R.O. Duda, A. Rosenfeld (IEEE Press, New York 1977) pp.324–337
R.P. Futrelle, M.J. Potei: The system design for GALATEA, an interactive real-time computer graphics system for movie and video analysis. Comput. Graph. (ACM) 1, 115–121 (1975)
W.N. Martin, J.K. Aggarwal: Suvery: dynamic scene analysis. Comput. Graph. Image Proc. 7, 356–374 (1978)
H.-H. Nagel: “Analysis Techniques for Image Sequences,” in International Joint Conference on lattern Recognition, Kyoto, Japan, Nov.7–10, 1978
N.I. Badler, J.K. Aggarwal (eds.): Abstracts of the Workshop on Computer Analysis of Time-Varying Imagery, Philadelphia, PA, April 5–6, 1979
J.O.B. Greaves: The bugsystem: The software structure for the reduction of quantized video dots of moving organisms. Prc. IEEE 63, 1415–1425 (1975)
R.M. Endlich, D.E. Wolf, D.J. Hall, A.E. Brain: Use of a pattern recognition technique for determining cloud motions from sequences of satellite photographs. J. Appl. Meteorol. 10, 105–117 (1971)
G.H. Ball, D.J. Hall: A clustering technique for summarizing multivariate data. Behav. Sci. 12, 153–155 (1967)
S. Ullman: The Interpretation of Visual Motion (MIT Press, Cambridge, MA 1979)
W.K. Chow, J.K. Aggarwal: Computer analysis of planar curvilinear moving images. IEEE Trans. C-26, 179–185 (1977)
J.K. Aggarwal, R.O. Duda: Computer analysis of moving polygonal images. IEEE Trans. C-24, 966–976 (1975)
R. Petermann: “Computer Analysis of Planar Moving Polygons,” Masters Thesis, University of Texas at Austin (1975)
W.N. Martin, J.K. Aggarwal: Computer analysis of dynamic scenes containing curvilinear figures. Pattern Recognition 11, 169–178 (1979)
J.W. McKee, J.K. Aggarwal: Finding edges of the surfaces of three-dimensional curved objects by computer. Pattern Recognition 7, 25–52 (1975)
J.W. Roach, J.K. Aggarwal: Computer tracking of objects moving in space. IEEE Trans. PAMI-1, 127–135 (1979)
Additional References
J.K. Aggarwal, N.I. Badler (eds.): IEEE Trans. PAMI-2, No.6 (1980) [Special Issue on Motion and Time-Varying Imagery]
B.R. Hunt (ed.): Proc. IEEE 69, No.5 (1981) [Special Issue on Image Processing]
W.E. Snyder (ed.): IEEE Trans. C-14, No.8 (1981) [Special Issue on Time-Varying Imagery]
W.N. Martin, J.K. Aggarwal: “Occluding Contours in Dynamic Scenes”, Proceedings of the Pattern Recognition and Image Processing Conference, Dallas, TX, August 3–5, 1981, pp.189–192
S. Yalamanchili, J.K. Aggarwal: “Motion and Image Differencing”, Proceedingss of the Pattern Recognition Image Processing Conference, Dallas, TX, August 3–5, 1981, pp.211–216
J.A. Webb, J.K. Aggarwal: “Visual Interpretation of the Motion of Objects in Space”, Proceedings of the Pattern Recognition and Image Processing Conference, Dallas, TX, August 3–5, 1981, pp.516–521
J.W. Roach, J.K. Aggarwal: Determining the movement of objects from a sequence of images. IEEE Trans. PAMI-2, 554–562 (1980)
J.K. Aggarwal, L.S. Davis, W.N. Martin: Correspondence processes in dynamic scene analysis. Proc. IEEE 69, 562–572 (1981)
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Aggarwal, J.K., Martin, W.N. (1981). Analyzing Dynamic Scenes Containing Multiple Moving Objects. In: Huang, T.S. (eds) Image Sequence Analysis. Springer Series in Information Sciences, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-87037-8_6
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DOI: https://doi.org/10.1007/978-3-642-87037-8_6
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