Scope: This bibliography contains references to algorithms for motion processing in general.

Support level: Mixed - 1999. This bibliography is a combination of several related bibliographies. Its support level is therefore mixed and depends on the support levels of the sub-bibliographies.

Publication types: Journal articles only. To keep effort low and quality high, I have confined this bibliography to journal articles only. Red titles indicate survey articles.

Online papers: An 'A' or 'P' (or 'T' for text only) after a reference link indicates that it leads to an abstract or full paper, respectively. Upper case letters refer to online documents provided by a journal, which might be accessible only to subscribers (indicated by a '?'). Lower case letters refer to online documents provided by an author. Also the links at the end of the references are differentiated in this way by upper and lower case letters at the beginning of the words 'abstract.html' etc. and by a '?', if the corresponding document is only accessible to subscribers. The site location is indicated by a preceding .uk, .com, etc.

BibTeX: A bibtex file for the journal article references is also available (compressed and uncompressed).

Feedback: Please feel free to send me any kind of feedback about this bibliography.

Related Resources

• Bibliography Depth from Stereo (a subset of this bibliography)
• Bibliography Optical Flow Estimation (a subset of this bibliography)
• Bibliography Image Motion Analysis (a subset of this bibliography)
• Bibliography Segmentation from Motion (a subset of this bibliography)
• Bibliography Visual Tracking (a subset of this bibliography)
• Bibliography Video Coding (a subset of this bibliography)

References

1. AccaDNataGius98.

Accame, M., De Natale, F.G.B., and Giusto, D.D. (February 1998).
High Performance Hierarchical Block-based Motion Estimation for Real-Time Video Coding
Real-Time Imaging, 4(1):67-79.
(.com-Abstract, .com-Paper?)

2. Adel91.

Adelson, E.H. (1991).
Mechanisms for Motion Perception
Optics and Photonics News, 2(8):24-30.

3. AdelBerg85.

Adelson, E.H. and Bergen, J.R. (1985).
Spatiotemporal Energy Models for the Perception of Motion
J. of the Optical Society of America A, 2(2):284-299.

4. Adiv85.

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, 7(4):384-401.

5. Adiv89.

Adiv, G. (1989).
Determining three-dimensional motion structure from optic flow generated by several moving objects
IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(5):477-489.

6. AggaCaiLiao+98.

Aggarwal, J.K., Cai, Q., Liao, W., and Sabata, B. (May 1998).
Nonrigid Motion Analysis: Articulated and Elastic Motion
Computer Vision and Image Understanding, 70(2):142-156.

7. AggaDuda75.

Aggarwal, J.K. and Duda, R.O. (1975).
Computer Analysis of Moving Polygonal Images
IEEE Transactions on Computers, 24(10):966-976.

8. AggaNand88.

Aggarwal, J.K. and Nandhakumar, N. (1988).
On the computation of motion from sequences of images - A review
Proceedings of the IEEE, 76(8):917-935.

9. AhujAbbo93.

Ahuja, N. and Abbott, A.L. (1993).
Active Stereo: Integrating Disparity, Vergence, Focus, Aperture, and Calibration for Surface Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(10):1007-1029.

10. Aisb89.

Aisbett, J. (May 1989).
Optical flow with an intensity-weighted smoothing
IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(5):512-522.

11. AltuErenTeka98.

Altunbasak, Y., Eren, P.E., and Tekalp, A.M. (January 1998).
Region-based parametric motion segmentation using color information
Journal of Graphical Models and Image Processing, 60(1):13-23.
(.edu-paper.ps)

12. AltuTeka97a.

Altunbasak, Y. and Tekalp, A.M. (September 1997 a).
Closed-Form Connectivity-Preserving Solutions for Motion Compensation Using 2-D Meshes
IEEE Transactions on Image Processing, 6(9):1255.
(-paper, .edu-paper.ps)

13. AltuTeka97b.

Altunbasak, Y. and Tekalp, A.M. (September 1997 b).
Occlusion-adaptive, content-based 2-D mesh design and tracking for object-based video coding
IEEE Transactions on Image Processing, 6(9):1270-1280.
(-paper, .edu-paper.ps)

14. AltuTeka98.

Altunbasak, Y. and Tekalp, A.M. (1998).
A hybrid video codec with block-based and mesh-based motion compensation modes
International Journal of Imaging Systems and Technology, 9(4):248-256.
(.edu-paper.ps)

15. Anan89

Anandan, P. (1989).
A Computational Framework and an Algorithm for the Measurement of Visual Motion
International Journal of Computer Vision, 2(3):283-310.

16. AncoPogg95.

Ancona, N. and Poggio, T. (1995).
Optical flow from 1-D correlation: application to a simple time-to-crash detector
International Journal of Computer Vision, 14(2):131-146.

17. ArgyTrahOrph98.

Argyros, A.A., Trahanias, P.E., and Orphanoudakis, S.C. (April 1998).
Robust Regression for the Detection of Independent 3D Motion by a Binocular Observer
Real-Time Imaging, 4(2):125-141.

18. AsadTsuj83.

Asada, M. and Tsuji, S. (1983).
Representation of three-dimensional motion in dynamic scenes
Computer Vision, Graphics and Image Processing, 21:118-144.

19. AwwaPowe93

Awwal, A.A.S. and Power, G.J. (1993).
Object tracking by an optoelectronic inner product complex neural network
Optical Engineering, 32(11):2782-2787.

20. AzarPent94.

Azarbayejani, A. and Pentland, A.P. (1994).
Recursive Estimation of Motion, Structure, and Focal Length
IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(6):545-561.

21. AzarStarHoro+93.

Azarbayejani, A., Starner, T., Horowitz, B., and Pentland, A.P. (June 1993).
Visually Controlled Graphics
IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(6):602-605.

22. BainLane96

Bainbridge-Smith, A. and Lane, R.G. (1996).
Measuring confidence in optical flow estimation
Electronics Letters, 32(10):882-884.

23. BainLane97.

Bainbridge-Smith, A. and Lane, R.G. (1. January 1997).
Determining optical flow using a differential method
Image and Vision Computing, 15(1):11-22.

24. BakuKuznLozi+92.

Bakut, P.A., Kuznetsov, M.V., Lozin, K.R., and Ryakhin, A.D. (1992).
Three-dimensional surface structure reconstruction from optic flow, produced by rotation of rigid body
Optoelectronics, Instrumentation and Data Processing, (1):64-66.

25. BallKimb83

Ballard, D.H. and Kimball, O.A. (April 1983).
Rigid Body Motion from Depth and Optical Flow
Computer Vision, Graphics and Image Processing, 22(1):95-115.

26. BarnThom80.

Barnard, S.T. and Thompson, W.B. (1980).
Disparity Analysis of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2(4):333-340.

27. Barn92a.

Barniv, Y. (1992 a).
Application of velocity filtering to optical-flow passive ranging
IEEE Transactions on Aerospace and Electronic Systems, 28(4):957-969.

28. Barn92b.

Barniv, Y. (1992 b).
Error analysis of combined optical-flow and stereo passive ranging
IEEE Transactions on Aerospace and Electronic Systems, 28(4):978-989.

29. BarrFleeBeau94

Barron, J.L., Fleet, D.J., and Beauchemin, S.S. (1994).
Performance of Optical Flow Techniques
International Journal of Computer Vision, 12(1):43-77.

30. BarrLipt94.

Barron, J.L. and Liptay, A. (1994).
Optical flow to measure minute increments in plant growth
Bioimaging, 2(1):57-61.

31. BartCappColo+93.

Bartolini, F., Cappellini, V., Colombo, C., and Mecocci, A. (1993).
Multiwindow least-squares approach to the estimation of optical flow with discontinuities
Optical Engineering, 32(6):1250-1256.

32. BartCappMeco92.

Bartolini, F., Cappellini, V., and Mecocci, A. (1992).
An optical flow algorithm preserving motion boundaries and its parallel implementation
European Transactions on Telecommunications and Related Technologies, 3(6):583-591.

33. BartPiva97.

Bartolini, F. and Piva, A. (31. July 1997).
Median based relaxation of smoothness constraints in optic flow computation
Pattern Recognition Letters, 18(7):649-655.

34. BattAmalKoch91

Battiti, R., Amaldi, E., and Koch, C. (1991).
Computing optical flow across multiple scales: an adaptive coarse-to-fine strategy
International Journal of Computer Vision, 6(2):133-145.

35. BearZissMurr97.

Beardsley, P.A., Zisserman, A.P., and Murray, D.W. (1997).
Projective and Affine Structure from Motion Recovery
International Journal of Computer Vision, 13(3):437-442 .

36. BeauBarr95.

Beauchemin, S.S. and Barron, J.L. (September 1995).
The Computation of Optical Flow
ACM Computing Surveys, 27(3):433-467.
(.org-abstract, .org-paper)

37. BenDBimbNesi93.

Ben-Tzvi, D., Del Bimbo, A., and Nesi, P. (1993).
Optical flow from constraint lines parametrization
Pattern Recognition, 26(10):1549-1561.

38. BergAdel87.

Bergen, J.R. and Adelson, E.H. (1987).
Hierarchical, Computationally Efficient Motion Estimation Algorithm
J. of the Optical Society of America A, 4:35.

39. BergBurtHing+92

Bergen, J.R., Burt, P.J., Hingorani, R., and Peleg, S. (1992).
A three-frame algorithm for estimating two-component image motion
IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(9):886-895.
(.il-paper.pdf)

40. Berg88.

Bergholm, F. (1988).
Motion from flow along contour: A note on robustness and ambiguous cases
International Journal of Computer Vision, 3:395-415.

41. BergCarl91.

Bergholm, F. and Carlsson, S. (March 1991).
A theory of optical flow
Computer Vision, Graphics and Image Processing: Image Understanding, 53(2):171-188.

42. BeucBarr95.

Beuchemin, S.S. and Barron, J.L. (September 1995).
The computation of optical flow
ACM Computing Surveys, 27(3):433-467.
(.org-abstract, .org-paper)

43. Beus93.

Beusmans, J.M.H. (1993).
Computing the direction of heading from affine image flow
Biological Cybernetics, 70(2):123-136.

44. Bich94.

Bichsel, M. (November 1994).
Segmenting Simply Connected Moving Objects in a Static Scene
IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(11):1138-1142.

45. BierThom86.

Bierling, M. and Thoma, R. (1986).
Motion compensating field interpolation using a hierarchically structured displacement estimator
Signal Processing, 11(4):387-404.

46. BiguGranWikl91.

Bigün, J., Granlund, G.H., and Wiklund, J. (August 1991).
Multidimensional orientation estimation with applications to texture analysis and optical flow
IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(8):775-790.

47. BlacAnan96

Black, M.J. and Anandan, P. (January 1996).
The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding, 63(1):75-104.

48. BlacJeps96

Black, M.J. and Jepson, A.D. (October 1996).
Estimating optical flow in segmented images using variable-order parametric models with local deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(10):972-986.

49. BlosRich94.

Blostein, S.D. and Richardson, H.S. (1994).
A sequential detection approach to target tracking
IEEE Transactions on Aerospace and Electronic Systems, 30(1):197-212.

50. BollBakeMari87.

Bolles, R.C., Baker, H.H., and Marimont, D.H. (1987).
Epipolar-Plane Image Analysis: An Approach to Determining Structure from Motion
International Journal of Computer Vision, 1(1):7-55.

51. BorsBozdAltu+97

Borshukov, G.D., Bozdagi, G., Altunbasak, Y., and Tekalp, A.M. (November 1997).
Motion segmentation by multistage affine classification
IEEE Transactions on Image Processing, 6(11):1591-1594.

52. Bout89.

Bouthemy, P. (May 1989).
Maximum Likelihood Framework for Determining Moving Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(5):499-511.

53. BoutFran93

Bouthemy, P. and François, E. (April 1993).
Motion segmentation and qualitative dynamic scene analysis from an image sequence
International Journal of Computer Vision, 10(2):157-182.

54. BoutLala93.

Bouthemy, P. and Lalande, P. (June 1993).
Recovery of moving object masks in an image sequence using local spatiotemporal contextual information
Optical Engineering, 32(6):1205-1212.

55. BozdTekaOnur94a.

Bozdagi, G., Tekalp, A.M., and Onural, L. (June 1994 a).
3-D Motion Estimation and Wireframe Model Adaptation Including Photometric Effects for Model-Based Coding of Facial Image Sequences
IEEE Transactions on Circuits and Systems for Video Technology, 4(3):246-257.

56. BozdTekaOnur94b.

Bozdagi, G., Tekalp, A.M., and Onural, L. (September 1994 b).
An Improvement to MBASIC Algorithm for 3-D Motion and Depth Estimation
IEEE Transactions on Image Processing, 3(5):711-717.

57. BradReidMurr97.

Bradshaw, K.J., Reid, I.R., and Murray, D.W. (March 1997).
The active recovery of 3D motion trajectories and their use in prediction
IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(3):219-234.

58. Bran97.

Brandt, J.W. (1997).
Improved accuracy in gradient-based optical flow estimation
International Journal of Computer Vision, 25(1):5-22.

59. Broc90.

Brockett, R.W. (1990).
Gramians, generalized inverses, and the least-squares approximation of optical flow
Journal of Visual Communication and Image Representation, 1(1):3-11.

60. BrofRocc77.

Brofferio, S. and Rocca, F. (1977).
Interframe Redundancy Reduction of Video Signals Generated by Translating Objects
IEEE Transactions on Communication, 25:448-455.

61. BroiChel86

Broida, T.J. and Chellappa, R. (1986).
Estimation of Object Motion Parameters from Noisy Images
IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(1):90-99.

62. BroiChel89.

Broida, T.J. and Chellappa, R. (1989).
Uniqueness and Performance Measure Results for 3-D Motion Estimation from a Monocular Sequence of Noisy Images
J. of the Optical Society of America, 6:879-889.

63. BrooChojBaum97.

Brooks, M.J., Chojnacki, W., and Baumela, L. (1997).
Determining the egomotion of an uncalibrated camera from instantaneous optical flow
J. of the Optical Society of America A, 14(10):2670-2677.

64. BrusHorn83.

Bruss, A.R. and Horn, B.K.P. (1983).
Passive Navigation
Computer Vision, Graphics and Image Processing, 21(1):3-20.

65. BultLittPogg89.

Bülthoff, H.H., Little, J.J., and Poggio, T. (February 1989).
A parallel algorithm for real-time computation of optical flow
Nature, 337(6207):549-553.

66. BurnRogeRuck+94

Burns, T.J., Rogers, S.K., Ruck, D.W., and Oxley, M.E. (July 1994).
Discrete, spatiotemporal, wavelet multiresolution analysis method for computing optical flow
Optical Engineering, 33(7):2236-2247.

67. BuxtBuxt83a.

Buxton, B.F. and Buxton, H. (1983 a).
Monocular Depth Perception from Optical Flow by Space Time Signal Processing
Proceedings of the Royal Society of London, Series B, 218:27-47.

68. BuxtBuxt83b.

Buxton, B.F. and Buxton, H. (1983 b).
Low-level edge detection for the extraction of optical flow data and passive ranging
GEC Journal of Research, 1(3):184-187.

69. BuxtBuxt84:

Buxton, B.F. and Buxton, H. (1984).
Computation of Optic Flow from the Motion of Edge Features in Image Sequences
Image and Vision Computing, 2(2):59-76.

70. BuxtBuxtMurr+85a.

Buxton, B.F., Buxton, H., Murray, D.W., and Williams, N.S. (1985 a).
Machine perception of visual motion
GEC Journal of Research, 3(3):145-161.

71. BuxtBuxtMurr+85b.

Buxton, B.F., Buxton, H., Murray, D.W., and Williams, N.S. (1985 b).
Structure from Motion Algorithms for Computer Vision on an SIMD Architecture
Computer Physics Communications, 37:273-280.

72. BuxtBuxtStep84.

Buxton, B.F., Buxton, H., and Stephenson, B.K. (1984).
Parallel computations of optic flow in early image processing
IEE Proceedings F, 131(6):593-602.

73. BuxtMurr85.

Buxton, B.F. and Murray, D.W. (1985).
Optic flow segmentation as an ill-posed and maximum likelihood problem
Image and Vision Computing, 3(4):163-169.

74. CaffRocc76.

Cafforo, C. and Rocca, F. (1976).
Methods for Measuring Small Displacements of Television Images
IEEE Transactions on Information Theory, 22(5):573-579.

75. CameGrosGuen98.

Cameron, S., Grossberg, S., and Guenther, F.H. (15. February 1998).
A Self-Organizing Neural Network Architecture for Navigation Using Optic Flow
Neural Computation, 10(2):313-352.

76. CampVerr92

Campani, M. and Verri, A. (1992).
Motion analysis from first-order properties of optical flow
Computer Vision, Graphics and Image Processing: Image Understanding, 56(1):90-107.

77. Camu97.

Camus, T. (April 1997).
Real-time quantized optical flow
Real-Time Imaging, 3(2):71-86.

78. CappMecoDBimb93

Cappellini, V., Mecocci, A., and Del Bimbo, A. (1993).
Motion analysis and representation in computer vision
Journal of Circuits, Systems and Computers, 3(4):797-831.

79. CastMurrScot+88:

Castelow, D.A., Murray, D.W., Scott, G.L., and Buxton, B.F. (1988).
Matching Canny edgels to compute the principal components of optic flow
Image and Vision Computing, 6(2):129-136.

80. CédrShah95.

Cédras, C. and Shah, M.A. (March 1995).
Motion Based Recognition: A Survey
Image and Vision Computing, 13(2):129-155.

81. CernCoopHung+89.

Cernuschi-Frias, B., Cooper, D.B., Hung, Y.P., and Belhumeur, P.N. (1989).
Toward a model-based Bayesian theory for estimating and reccognizing parameterized 3D objects using two or more images taken from different position
IEEE Transactions on Pattern Analysis and Machine Intelligence, 11:1028-1052.

82. ChaeKimPark93.

Chae, S.B., Kim, J.S., and Park, R.H. (1993).
Video coding by segmenting motion vectors and frame differences
Optical Engineering, 32(4):870-876.

83. ChanSiu98.

Chan, Y.L. and Siu, W.C. (June 1998).
On Block Motion Estimation Using a Novel Search Strategy for an Improved Adaptive Pixel Decimation
Journal of Visual Communication and Image Representation, 9(2):139-154.

84. ChanTekaSeza97

Chang, M.M., Tekalp, A.M., and Sezan, M.I. (1997).
Simultaneous motion estimation and segmentation
IEEE Transactions on Image Processing, 6(9):1326-1333.

85. ChauMehr94.

Chaudhury, K. and Mehrotra, R. (1994).
Optical flow estimation using smoothness of intensity trajectories
Computer Vision, Graphics and Image Processing: Image Understanding, 60(2):230-244.

86. ChauMehr95.

Chaudhury, K. and Mehrotra, R. (1995).
A trajectory-based computational model for optical flow estimation
IEEE Transactions on Robotics and Automation, 11(5):733-741.

87. ChauBoukBout+96.

Chaumette, F., Boukir, S., Bouthemy, P., and Juvin, D. (May 1996).
Structure from controlled motion
IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(5):492-504.

88. ChenHuan90

Chen, H.H. and Huang, T.S. (1990).
Matching 3-D line segments with applications to multiple-object motion estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 12(10):1002-1008.

89. ChenShir94

Chen, H.J. and Shirai, Y. (1994).
Segmentation based on accumulative observation of apparent motion in long image sequences
IEICE Transactions on Information and Systems (D), E77-D(6):694-704.

90. ChenShirAsad93

Chen, H.J., Shirai, Y., and Asada, M. (1993).
Detecting multiple rigid image motions from an optical flow field obtained with multi-scale, multi-orientation filters
IEICE Transactions on Information and Systems (D), E76-D(10):1253-1262.

91. ChenWuPei+94.

Cheng, C.M., Wu, C.H., Pei, S.C., and Tang, B.S. (August 1994).
High Speed Video Compression Testbed
IEEE Transactions on Consumer Electronics, 40(3):538-548.

92. Chha97.

Chhabra, A.K. (April 1997).
Real-time computation of optical flow along contours of significant intensity change
Real-Time Imaging, 3(2):87-99.

93. ChhaGrog94.

Chhabra, A.K. and Grogan, T.A. (November 1994).
On Poisson solvers and semi-direct methods for computing area based optical flow
IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(11):1133-1138.

94. ChibOzaw92.

Chiba, M. and Ozawa, S. (1992).
Detection of optical flow from a noisy image
Systems and Computers in Japan, 23(8):97-105.

95. ChihCaim97.

Chih-Ho, Y. and Caimi, F.M. (1997).
Determination of horizontal motion through optical flow computations
Journal of Computer Science and Technology, 12(2):133-144.

96. ChinKarlWill94.

Chin, T.M., Karl, W.C., and Willsky, A.S. (1994).
Probabilistic and sequential computation of optical flow using temporal coherence
IEEE Transactions on Image Processing, 3(6):773-788.

97. ChoPark98.

Cho, D.S. and Park, R.H. (June 1998).
An object-oriented coder using block-based motion vectors and residual image compensation
IEEE Transactions on Circuits and Systems for Video Technology, 8(3):316-327.

98. ChoPark99.

Cho, D.S. and Park, R.H. (1999).
Object-based very low bit-rate coding using motion parameter estimation based on multiple frame prediction
Journal of Visual Communication and Image Representation, 10.

99. ChoiKim96

Choi, J.G. and Kim, S.D. (31. October 1996).
Multi-stage segmentation of optical flow field
Signal Processing, 54(2):109-118.

100. ChouHang97.

Chou, Y.M. and Hang, H.M. (March 1997).
A New Motion Estimation Method Using Frequency Components
Journal of Visual Communication and Image Representation, 8(1):83-96.

101. ChowAgga77.

Chow, W.K. and Aggarwal, J.K. (1977).
Computer Analysis of Planar Curvilinear Moving Images
IEEE Transactions on Computers, 26(2):179-185.

102. CiccNico94.

Cicconi, P. and Nicolas, H. (1994).
Efficient region-based motion estimation and symmetry oriented segmentation for image sequence coding
IEEE Transactions on Circuits and Systems for Video Technology, 4(3):357-364.

103. Cloc80.

Clocksin, W.F. (1980).
Perception of Surface Slant and Edge Labels from Optical Flow: A Computational Approach
Perception, 9:253-269.

104. ColoDBimbSant94.

Colombo, C., Del Bimbo, A., and Santini, S. (1. April 1994).
Optical flow through relaxation in the velocity space
Pattern Recognition Letters, 15(4):373-382.

105. ColoDBimbSant95.

Colombo, C., Del Bimbo, A., and Santini, S. (1995).
Optical flow by nonlinear relaxation
Pattern Recognition, 28(7):977-988.

106. ConvStelBran+97.

Convertino, G., Stella, E., Branca, A., and Distante, A. (1997).
Optic flow estimation by a Hopfield neural network using geometrical constraints
Machine Vision and Applications, 10(3):114-122.
(.com-Abstract, .com-Paper.pdf?)

107. CornDrou93.

Cornilleau-Peres, V. and Droulez, J. (September 1993).
Velocity-Based Correspondence in Stereokinetic Images
Computer Vision, Graphics and Image Processing: Image Understanding, 58(2):137-146.

108. CryeTsaiShah95.

Cryer, J., Tsai, P.S., and Shah, M.A. (July 1995).
Combining Stereo and Shading
Pattern Recognition, 28(7):1033-1043.

109. CsurZellZhan+97.

Csurka, G., Zeller, C., Zhang, Z., and Faugeras, O.D. (October 1997).
Characterizing the Uncertainty of the Fundamental Matrix
Computer Vision and Image Understanding, 68(1):18-36.

110. CumaGuid97.

Cumani, A. and Guiducci, A. (1997).
Recovering the 3D structure of tubular objects from stereo silhouettes
Pattern Recognition, 30(7).

111. CumaGuidGrat91

Cumani, A., Guiducci, A., and Grattoni, P. (1991).
Image Description of Dynamic Scenes
Pattern Recognition, 24(7):661-673.

112. DVitoTsot96.

Da Vitoria Lobo, N. and Tsotsos, J.K. (June 1996).
Computing Egomotion and Detecting Independent Motion from Image Motion Using Collinear Points
Computer Vision and Image Understanding, 64(1):21-52.

113. DaniKrauHans+98.

Daniilidis, K., Krauss, C., Hansen, M., and Sommer, G. (February 1998).
Real-Time Tracking of Moving Objects with an Active Camera
Real-Time Imaging, 4(1):3-20.

114. DarrPent95

Darrell, T. and Pentland, A.P. (May 1995).
Cooperative robust estimation using layers of support
IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(5):474-487.

115. DMichTorrUras93.

De Micheli, E., Torre, V., and Uras, S. (1993).
The accuracy of the computation of optical flow and of the recovery of motion parameters
IEEE Transactions on Pattern Analysis and Machine Intelligence, 15:434-447.

116. DBimbNesiSanz95.

Del Bimbo, A., Nesi, P., and Sanz, J.L.C. (1995).
Analysis of optical flow constraints
IEEE Transactions on Image Processing, 4(4):460-469.

117. DBimbNesiSanz96

Del Bimbo, A., Nesi, P., and Sanz, J.L.C. (1996).
Optical flow computation using extended constraints
IEEE Transactions on Image Processing, 5(5):720-739.

118. DennPrin94.

Denney, T.S.J. and Prince, J.L. (March 1994).
Optimal brightness functions for optical flow estimation of deformable motion
IEEE Transactions on Image Processing, 3(2):178-191.

119. DennPrin95.

Denney, T.S.J. and Prince, J.L. (1995).
A frequency domain performance analysis of Horn and Schunck's optical flow algorithm for deformable motion
IEEE Transactions on Image Processing, 4(9):1324-1327.

120. DiasAraúPare+97.

Dias, J., Araújo, H., Paredes, C., and Batista, J. (June 1997).
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148. FlicSawhNibl+95.

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156. GiacTorr96.

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159. GramMalaTzov+95.

Grammalidis, N., Malassiotis, S., Tzovaras, D., and Strintzis, M.G. (11. August 1995).
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165. HaagFranKoll+97.

Haag, M., Frank, T., Kollnig, H., and Nagel, H.H. (February 1997).
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Haag, M. and Nagel, H.H. (1. June 1998).
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Hartley, R. (1985).
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174. Heeg87

Heeger, D.J. (1987).
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175. Heeg88

Heeger, D.J. (1988).
Optical Flow Using Spatio-Temporal Filters
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Heimes, F., Nagel, H.H., and Frank, T. (1998).
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Horn, B.K.P. and Schunck, B.G. (1. January 1993).
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188. HornWeld88

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Huang, T.S. and Netravali, A.N. (1994).
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195. HuanPalaZhua+95

Huang, Y.Y., Palaniappan, K., Zhuang, X., and Cavanaugh, J.E. (December 1995).
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Huntsberger, T.L. and Jayaramamurthy, S.N. (1988).
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199. HwanLee93a

Hwang, S.H. and Lee, S.U. (April 1993 a).
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Irani, M., Anandan, P., Bergen, J., Kumar, R., and Hsu, S. (23. May 1996).
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Irani, M., Hsu, S., and Anandan, P. (1. November 1995).
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213. JainJain81.

Jain, J.R. and Jain, A.K. (1981).
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214. Jain81a.

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215. Jain81b

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216. Jain83.

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217. Jain84a

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218. Jain84b:

Jain, R.C. (1984 b).
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219. JainMartAgga79

Jain, R.C., Martin, W.N., and Aggarwal, J.K. (1979).
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220. JainNage79

Jain, R.C. and Nagel, H.H. (1979).
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223. JenkTsot86.

Jenkin, M. and Tsotsos, J.K. (1986).
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224. JeriJain84

Jerian, C. and Jain, R.C. (1984).
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Jung, S.K. and Wohn, K.Y. (December 1997 b).
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Jung, S.K. and Wohn, K.Y. (29. April 1998).
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230. KambGold94.

Kambhamettu, C. and Goldgof, D.B. (1994).
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231. Kana84.

Kanatani, K. (1. July 1984).
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Artificial Intelligence, 23(2):213-237.

232. Kana85a.

Kanatani, K. (1985 a).
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233. Kana85b.

Kanatani, K. (1985 b).
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234. Kana86.

Kanatani, K. (August 1986).
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235. Kana87.

Kanatani, K. (May 1987).
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236. Kana88.

Kanatani, K. (March 1988).
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237. Kana93.

Kanatani, K. (1993).
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238. KangParkLee94.

Kang, M.S., Park, R.H., and Lee, K.H. (1994).
Recovering an elevation map by stereo modeling of the aerial image sequence
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239. KappTPasKoen+96a.

Kappers, A.M.L., te Pas, S.F., Koenderink, J.J., and van Doorn, A.J (1996 a).
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240. KappTPasKoen+96b.

Kappers, A.M.L., te Pas, S.F., Koenderink, J.J., and van Doorn, A.J (1996 b).
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241. KappVDoorKoen94.

Kappers, A.M.L., van Doorn, A.J, and Koenderink, J.J. (1994).
Detection of vorticity in optical flow fields
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242. KawaSugiSugi89.

Kawamura, A., Sugie, N., and Sugihara, K. (1989).
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243. KearThomBole87

Kearney, J.K., Thompson, W.B., and Boley, D.L. (March 1987).
Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization
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244. KellKais95.

Kellman, P.J. and Kaiser, M.K. (1995).
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611. ZhaoQiYoun89.

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615. ZhenBillMayh+96

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617. ZhuaHuanHara86.

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Author Index

683 authors, 56 (8%) with homepage. First author references are printed boldface.