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Determining Three-Dimensional Motion and Structure from Optical Flow Generated by Several Moving Objects

Adiv, Gilad·1985·IEEE Transactions on Pattern Analysis and Machine Intelligence
DOI 10.1109/tpami.1985.4767678
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Abstract

A new approach for the interpretation of optical flow fields is presented. The flow field, which can be produced by a sensor moving through an environment with several independently moving, rigid objects, is allowed to be sparse, noisy, and partially incorrect. The approach is based on two main stages. In the first stage, the flow field is partitioned into connected segments of flow vectors, where each segment is consistent with a rigid motion of a roughly planar surface. In the second stage, segments are grouped under the hypothesis that they are induced by a single, rigidly moving object. Each hypothesis is tested by searching for three-dimensional (3-D) motion parameters which are compatible with all the segments in the corresponding group. Once the motion parameters are recovered, the relative environmental depth can be estimated as well. Experiments based on real and simulated data are presented.

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Research works printed but not linked: 33

  1. adiv, 1983, Recovering 2-D motion parameters in scenes containing multiple moving objects, Proc DARPA Image Understanding Workshop, 285
  2. 1984, Determining 3-D motion and structure from optical flow generated by several moving objects, Proc DARPA Image Understanding Workshop, 113
  3. williams, 1981, Computer interpretation of a dynamic image from a moving vehicle
  4. waxman, 1984, Contour Evolution Neighborhood Deformation and Global Image Flow Planar Surfaces in Motion
  5. waxman, 1984, An image flow paradigm, Proceedings of the Workshop on Visual Computing, 49
  6. waxman, 1983, Surface structure and 3-D motion from image flow A kinematic approach
  7. fang, 1983, Estimating 3-D movement of a rigid object: Experimental results, Proc Int Joint Conf Artif Intell, 1035
  8. 10.1016/0146-664X(79)90097-2 · DOI · Paper page
  9. 1978, Computer Vision Systems, 303
  10. 10.1109/TPAMI.1984.4767558 · DOI
  11. lawton, 1982, Motion analysis via local translational processing, Proceedings of the Workshop on Visual Computing, 59
  12. lawton, 1984, Processing Dynamic Image Sequences From a Moving Sensor
  13. 10.1098/rspb.1980.0057 · DOI · Paper page
  14. 10.1038/293133a0 · DOI · Paper page
  15. nagel, 1981, On the derivation of 3-D rigid point configurations from image sequences, Proc IEEE Conf Pattern Recog Image Proc, 103
  16. nagel, 1981, On 3-D reconstruction from two perspective views, Proc Int Joint Conf Artif Intell, 661
  17. ullman, 1979, The Interpretation of Visual Motion, 10.7551/mitpress/3877.001.0001 · DOI · Paper page
  18. 1985, Interpreting Optical Flow
  19. 10.1109/TPAMI.1984.4767471 · DOI · Paper page
  20. ballard, 1981, Parameter networks: Towards a theory of low-level vision, Proc Int Joint Conf Artif Intell, 1068
  21. 10.1109/C-M.1981.220564 · DOI
  22. anandan, 1984, Computing dense displacement fields with confidence measures in scenes containing occlusion, Proc DARPA Image Understanding Workshop, 236
  23. bruss, 1981, Passive Navigation
  24. ballard, 1981, Rigid Body Motion from Depth and Optical Flow
  25. 1983, Recovering motion parameters in scenes containing multiple moving objects, Proc IEEE Conf Comput Vis Pattern Recog, 399
  26. fang, 1983, Solving three-dimensional smallrotation motion equations, Proc IEEE Conf Comput Vis Pattern Recog, 253
  27. neumann, 1980, Motion analysis of image sequences for object grouping and reconstruction, Proc Int Conf Pattern Recog, 1262
  28. 10.1007/BF00361077 · DOI · Paper page
  29. o'rourke, 1981, Motion detection using Hough techniques, Proc IEEE Conf Pattern Recog Image Proc, 82
  30. rieger, 1983, Determining the instantaneous axis of translation from optic flow generated by arbitrary sensor motion, Proc Workshop Motion Representation Perception, 33
  31. 10.1016/0146-664X(81)90004-6 · DOI
  32. sloan, 1981, Dynamically quantized pyramids, Proc Int Joint Conf Artif Intell, 734
  33. 10.1109/TPAMI.1980.6447703 · DOI · Paper page

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Metadata

Authors
Adiv, G.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
1985-07
Volume
PAMI-7
Issue
4
Pages
384-401
ISSN
0162-8828 (ISSN-L)
DOI
10.1109/tpami.1985.4767678
OpenAlex
W2043003144
Cited by
800
References
0
FWCI
19.02
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)

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CoChat. (2026). Citation check: Determining Three-Dimensional Motion and Structure from Optical Flow Generated by Several Moving Objects. https://app.cochat.ai/papers/10.1109/tpami.1985.4767678
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Adiv, G. (1985). Determining Three-Dimensional Motion and Structure from Optical Flow Generated by Several Moving Objects. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.1985.4767678

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