Scope: This bibliography contains references to algorithms for segmentation from motion.

Support level: Medium - 1998. This bibliography is medium well supported till the year 1998, i.e. I have collected quite a few references but the collection is not complete.

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).

Search engine: This bibliography is also included in The Karlsruhe Collection of Computer Science Bibliographies. You can use its search engine to search through this bibliography.

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

Related Resources

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

References

1. 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)

2. 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.

3. 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.

4. 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)

5. 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.

6. 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.

7. 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.

8. 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.

9. 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.

10. 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.

11. 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.

12. 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.

13. 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.

14. ChoiKim96

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

15. CumaGuidGrat91

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

16. 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.

17. Dieh91.

Diehl, N. (1991).
Object-oriented motion estimation and segmentation in image sequences
Signal Processing: Image Communication, 3(1):23-56.

18. DubuJain95

Dubuisson, M.P. and Jain, A.K. (1995).
Contour extraction of moving objects in complex outdoor scenes
International Journal of Computer Vision, 14(1):83-105.

19. DufaMoccMosc+94.

Dufaux, F., Moccagatta, I., Moscheni, F., and Nicolas, H. (1994).
Vector quantization-based motion field segmentation under the entropy criterion
Journal of Visual Communication and Image Representation, 5(4):356-369.

20. FennThom79

Fennema, C.L. and Thompson, W.B. (1979).
Velocity determination in scenes containing several moving objects
Computer Graphics and Image Processing, 9:301-315.

21. FlicSawhNibl+95.

Flickner, M., Sawhney, H.S., Niblack, W., Ashley, J., Huang, Q., Dom, B., Gorkani, M., Hafner, J., Lee, D.N., Petkovic, D., Steele, D., and Yanker, P. (1995).
Query by Image and Video Content: The QBIC System
Computer, 28(9):23-32.

22. GiusVern89.

Giusto, D.D. and Vernazza, G. (1989).
Optical Flow Calculation From Feature Space Analysis Through an Automatic Segmentation Process
Signal Processing, 16:41-51.

23. GuShirAsad95

Gu, H., Shirai, Y., and Asada, M. (1995).
Motion description and segmentation of multiple moving objects in a long image sequence
IEICE Transactions on Information and Systems (D), E78-D(3):277-289.

24. GuShirAsad96

Gu, H., Shirai, Y., and Asada, M. (January 1996).
MDL-based segmentation and motion modeling in a long image sequence of scene with multiple independently moving objects
IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(1):58-64.

25. Hart85:

Hartley, R. (1985).
Segmentation of optical flow fields by pyramid linking
Pattern Recognition Letters, 3(4):253-262.

26. Heal93

Healey, G. (1993).
Hierarchical segmentation-based approach to motion analysis
Image and Vision Computing, 11(9):570-576.

27. Hött90.

Hötter, M. (1990).
Object-Oriented Analysis Synthesis Coding Based on Moving Two-Dimensional Objects
Signal Processing: Image Communication, 2:409-428.

28. HöttThom88

Hötter, M. and Thoma, R. (1988).
Image Segmentation Based on Object Oriented Mapping Parameter Estimation
Signal Processing, 15(3):315-334.

29. HuanPalaZhua+95

Huang, Y.Y., Palaniappan, K., Zhuang, X., and Cavanaugh, J.E. (December 1995).
Optic flow field segmentation and motion estimation using a robust genetic partitioning algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(12):1177-1190.

30. IranAnan97.

Irani, M. and Anandan, P. (1. June 1997).
A Unified Approach to Moving Object Detection in 2D and 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(6):577.
(-abstract, .il-abstract.html, -paper, .il-paper.ps.Z)

31. IranRousPele94

Irani, M., Rousso, B., and Peleg, S. (February 1994).
Computing occluding and transparent motions
International Journal of Computer Vision, 12(1):5-16.
(.il-abstract.html, .il-paper.ps.Z)

32. Jain81b

Jain, R.C. (1981 b).
Dynamic Scene Analysis Using Pixel-Based Processes
Computer, 14(8):12-18.

33. Jain84a

Jain, R.C. (1984 a).
Segmentation of Frame Sequences Obtained by a Moving Observer
IEEE Transactions on Pattern Analysis and Machine Intelligence, 6:624-629.

34. Jain84b:

Jain, R.C. (1984 b).
Difference and accumulative difference pictures in dynamic scene analysis
Image and Vision Computing, 2(2):99-108.

35. JainMartAgga79

Jain, R.C., Martin, W.N., and Aggarwal, J.K. (1979).
Segmentation through the detection of changes due to motion
Computer Graphics and Image Processing, 11(1):13-34.

36. JainNage79

Jain, R.C. and Nagel, H.H. (1979).
On the analysis of accumulative difference pictures from image sequences of real world scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(2):206-214.

37. JayaJain83.

Jayaramamurthy, S.N. and Jain, R.C. (February 1983).
Approach to the Segmentation of Textured Dynamic Scenes
Computer Vision, Graphics and Image Processing, 21(2):239-261.

38. KimKim92

Kim, Y.H. and Kim, S.D. (1992).
Image flow segmentation and estimation using desplaced spatial gradient
Electronics Letters, 28(24):2213-2215.

39. Koch93.

Koch, R. (1993).
Automatic reconstruction of buildings from stereoscopic image sequences
Computer Graphics Forum, 12(3):C339-C350.

40. KompTzovStri98b.

Kompatsiaris, I., Tzovaras, D., and Strintzis, M.G. (1. October 1998 b).
3D Model-Based Segmentation of Videoconference Image Sequences
IEEE Transactions on Circuits and Systems for Video Technology, 8(5):547.

41. KuriAguiNaga96

Kurianski, A., Agui, T., and Nagahashi, H. (1996).
Motion segmentation in RGB image sequence based on stochastic modeling
IEICE Transactions on Information and Systems (D), E79-D(12):1708-1715.

42. Lawt83

Lawton, D.T. (1983).
Processing Translational Motion Sequences
Computer Vision, Graphics and Image Processing, 22(1):116-144.

43. LeeKimPark+94a.

Lee, G.H., Kim, J.S., Park, R.H., Lee, S.U., and Choi, J.S. (1994 a).
Segmented video coding using variable block-size segmentation by motion vectors
Journal of the Korean Institute of Telematics and Electronics, 31B(4):62-76.

44. LeeKimPark+94b.

Lee, G.H., Kim, J.S., Park, R.H., Lee, S.U., and others (1994 b).
Video coding using variable block-size segmentation by motion vectors
Journal of Visual Communication and Image Representation, 5(4):342-355.

45. LeeKimSon90.

Lee, S.M., Kim, N.C., and Son, H. (1990).
Very low rate coding of motion video using 3-D segmentation with two change detection masks
Journal of the Korean Institute of Telematics and Electronics, 27(10):1621-1628.

46. LeeChoiKim97

Lee, S.W., Choi, J.G., and Kim, S.D. (1997).
Scene segmentation using a combined criterion of motion and intensity
Optical Engineering, 36(8):2346-2352.

47. LeeKim95

Lee, S.W. and Kim, S.D. (1995).
Motion field segmentation under the 3-D movement of rigid planar patches
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (A), E78-A(12):1890-1894.

48. Li92

Li, H.Y. (September 1992).
Segmentation of the facial area for videophone applications
Electronics Letters, 28(20):1915-1916.

49. LiLinKuo96.

Li, J., Lin, X., and Kuo, C.C.J. (September 1996).
Boundary-Control Vector (BCV) Motion Field Representation and Estimation by Using a Markov Random Field Model
Journal of Visual Communication and Image Representation, 7(3):230-243.

50. LiouJain89.

Liou, S.P.P. and Jain, R.C. (February 1989).
Motion Detection in Spatio-Temporal Space
Computer Vision, Graphics and Image Processing, 45(2):227-250.

51. MarcMarqMeye97.

Marcotegui, B., Marqués, F., and Meyer, F.G. (July 1997).
Allowing content-based functionalities in segmentation-based coding schemes
Annales des Télécommunications, 52(7/8).

52. MarcMarqMorr+97.

Marcotegui, B., Marqués, F., Morros, J.R., Pardàs, M., and Salembier, P. (July 1997).
Segmentation of video sequences and rate control.
Annales des Télécommunications, 52(7/8):380-388.

53. MarcMeye97.

Marcotegui, B. and Meyer, F.G. (July 1997).
Bottom-up segmentation of image sequences for coding
Annales des Télécommunications, 52(7/8).

54. MarqLlorGasu98.

Marqués, F., Llorens, B., and Gasull, A. (1998).
Prediction of image partitions using Fourier Descriptors: Application to segmentation-based coding schemes
IEEE Transactions on Image Processing, 7(4):529-542.
(.org-Abstract)

55. MarqMeyePard+97.

Marqués, F., Meyer, F.G., Pardàs, M., and Salembier, P. (1997).
General requirements for coding oriented segmentation of video sequences
Annales des Télécommunications, 52(7-8):359-366.

56. MeyeBeuc90.

Meyer, F.G. and Beucher, S. (1990).
Morphological segmentation
Journal of Visual Communication and Image Representation, 1(1):21-46.

57. MitiAgga85:

Mitiche, A. and Aggarwal, J.K. (1985).
Image segmentation by conventional and information-integrating techniques: a synopsis
Image and Vision Computing, 3(2):50-62.

58. MoriHara93

Morikawa, H. and Harashima, H. (1993).
Incremental segmentation of moving pictures: An analysis by synthesis approach
IEICE Transactions on Information and Systems (D), E76-D(4):446-453.

59. MurrBuxt87

Murray, D.W. and Buxton, B.F. (1987).
Scene segmentation from visual motion using global optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence, 9(2):220-228.

60. MurrWill86.

Murray, D.W. and Williams, N.S. (1986).
Detecting the Image Boundaries Between Optical Flow Fields from Several Moving Planar Facets
Pattern Recognition Letters, 4(2):87-92.

61. MutcThom85

Mutch, K.M. and Thompson, W.B. (1985).
Analysis of Accretion and Deletion at Boundaries in Dynamic Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 7(2):133-138.

62. NasrChooRoy92.

Nasrabadi, N.M., Choo, C.Y., and Roy, J.U. (June 1992).
Interframe Hierarchical Address-Vector Quantization
IEEE Journal on Selected Areas in Communications, 10(5):960-967.

63. NegaLee92

Negahdaripour, S. and Lee, S. (1. December 1992).
Motion recovery from image sequences using only first order optical flow information
International Journal of Computer Vision, 9(3):163-184.

64. OdobBout98.

Odobez, J.M. and Bouthemy, P. (30. April 1998).
Direct incremental model-based image motion segmentation for video analysis
Signal Processing, 66(2):143-155.

65. Orch93

Orchard, M.T. (1993).
Predictive motion-field segmentation for image sequence coding
IEEE Transactions on Circuits and Systems for Video Technology, 3(1):54-70.

66. PardSale94

Pardàs, M. and Salembier, P. (1. July 1994).
3-D Morphological Segmentation and Motion Estimation for Image Sequences
Signal Processing, 38(1):31-43.

67. PardSale97.

Pardàs, M. and Salembier, P. (1997).
Segmentation of video sequences for partition tree generation
Annales des Télécommunications, 52(7-8):389-396.

68. Park94.

Park, D. (1. December 1994).
Adaptive Bayesian decision model for motion segmentation
Pattern Recognition Letters, 15(12):1183-1189.

69. PeiLiou97a

Pei, S.C. and Liou, L.G. (October 1997 a).
Motion-based grouping of optical flow fields: the extrapolation and subtraction technique
IEEE Transactions on Image Processing, 6(10):1358-1363.

70. Pott75

Potter, J.L. (1975).
Velocity as a cue to segmentation
IEEE Transactions on Systems, Man and Cybernetics, 5:390-394.

71. Pott77

Potter, J.L. (1977).
Scene segmentation using motion information
Computer Graphics and Image Processing, 6:558-581.

72. RognCampVerr92:

Rognone, A., Campani, M., and Verri, A. (1992).
Detecting Moving Objects from Optical Flow
Pattern Recognition and Image Analysis, 2(1).

73. SaleMarqPard+97

Salembier, P., Marqués, F., Pardàs, M., Morros, J.R., Corset, I., Jeannin, S., Bouchard, L., Meyer, F.G., and Marcotegui, B. (1997).
Segmentation-based video coding system allowing the manipulation of objects
IEEE Transactions on Circuits and Systems for Video Technology, 7(1):60-74.
(.es-paper.ps.gz)

74. SawhHans93.

Sawhney, H.S. and Hanson, A.R. (1993).
Trackability as a Cue for Potential Obstacle Identification and 3D Description
International Journal of Computer Vision, 11(3):237-265.
(.com-abstract)

75. Schn92

Schnörr, C. (1992).
Computation of discontinuous optical flow by domain decomposition and shape optimization
International Journal of Computer Vision, 8(2):153-165.

76. Schu89

Schunck, B.G. (October 1989).
Image flow segmentation and estimation by constraint line clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(10):1010-1027.

77. ShahRangTsai93

Shah, M.A., Rangarajan, K., and Tsai, P.S. (August 1993).
Motion trajectories
IEEE Transactions on Systems, Man and Cybernetics, 23(4):1138-1150.

78. Shen96.

Shen, D.F. (1996).
Segmentation-based motion estimation and residual coding for packet video
Journal of Information Science and Engineering, 12(3):397-413.
(.tw-Abstract.html)

79. ShizMase94.

Shizawa, M. and Mase, K. (1994).
Multiple optical flow-fundamental constraint equations and a unified computational theory for detecting motion transparency and motion boundaries
Systems and Computers in Japan, 25(5):52-74.

80. Smit98.

Smith, S.M. (February 1998).
ASSET-2: Real-time motion segmentation and object tracking
Real-Time Imaging, 4(1):21-40.

81. SmitBrad94:

Smith, S.M. and Brady, J.M. (April 1994).
A scene segmenter: visual tracking of moving vehicles
Engineering Applications of Artificial Intelligence, 7(2):191-204.

82. SmitBrad95

Smith, S.M. and Brady, J.M. (August 1995).
Asset-2: Real-time motion segmentation and object tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(8):814-820.
(-abstract, .uk-abstract)

83. StriMao94:

Strickland, R.N. and Mao, Z. (September 1994).
Contour Motion Estimation Using Relaxation Matching with a Smoothness Constraint on the Velocity Field
Computer Vision, Graphics and Image Processing: Image Understanding, 60(2):157-167.

84. SullAhuj95

Sull, S. and Ahuja, N. (November 1995).
Integrated Matching and Segmentation of Multiple Features in Two Views
Computer Vision and Image Understanding, 62(3):279-297.

85. TerzWitk88.

Terzopoulos, D. and Witkin, A. (November 1988).
Deformable Models: Physically Based Models with Rigid and Deformable Components
IEEE Transactions on Computer Graphics and Applications, :41-51.

86. Thom80

Thompson, W.B. (1980).
Combining motion and contrast for segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2(6):543-549.

87. ThomLechStuc93

Thompson, W.B., Lechleider, P., and Stuck, E.R. (1993).
Detecting moving objects using the rigidity constraint
IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(2):162-166.

88. ThomMutcBerz85

Thompson, W.B., Mutch, K.M., and Berzins, V.A. (1985).
Dynamic occlusion analysis in optical flow field
IEEE Transactions on Pattern Analysis and Machine Intelligence, 7(4):374-383.

89. ThomPong90

Thompson, W.B. and Pong, T.C. (January 1990).
Detecting moving objects
International Journal of Computer Vision, 4(1):39-57.

90. TianShah96

Tian, T.Y. and Shah, M.A. (1996).
Motion estimation and segmentation
Machine Vision and Applications, 9(1):32-42.
(.com-Abstract)

91. TorrMurr93

Torr, P.H.S. and Murray, D.W. (1993).
Statistical detection of independent movement from a moving camera
Image and Vision Computing, 11(4):180-187.

92. TzovGramStri96

Tzovaras, D., Grammalidis, N., and Strintzis, M.G. (1996).
Joint three-dimensional motion/disparity segmentation for object-based stereo image sequence coding
Optical Engineering, 35(1):137-143.

93. TzovGramStri97a.

Tzovaras, D., Grammalidis, N., and Strintzis, M.G. (1997 a).
3-D Camera Motion Estimation and Foreground/Background Separation for Stereoscopic Image Sequences
Optical Engineering, 36(2).

94. WangAdel94

Wang, J.Y.A. and Adelson, E.H. (1994).
Representing moving images with layers
IEEE Transactions on Image Processing, 3(5):625-638.

95. WangDunc96.

Wang, W.J. and Duncan, J.H. (May 1996).
Recovering the three-dimensional motion and structure of multiple moving objects from binocular image flows
Computer Vision and Image Understanding, 63(3):430-446.

96. WebeMali97

Weber, J. and Malik, J. (February 1997).
Rigid body segmentation and shape description from dense optical flow under weak perspective
IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(2):139-143.

97. West92

Westberg, L. (1992).
Hierarchical contour-based segmentation of dynamic scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(9):946-952.

98. WetzZinsNiem93.

Wetzel, D., Zins, A., and Niemann, H. (1993).
Edge- and Motion-Based Segmentation for Traffic Scene Analysis
Pattern Recognition and Image Analysis, 3(3):385-387.

99. Wisk99

Wiskott, L. (1999).
Segmentation from Motion: Combining Gabor- and Mallat-Wavelets to Overcome the Aperture and Correspondence Problems
Pattern Recognition, 32(10):1751-1766.
(-abstract, .de-abstract.html, .de-paper.ps.gz)

100. WohnWaxm90

Wohn, K.Y. and Waxman, A.M. (February 1990).
The analytic structure of image flows: Deformation and segmentation
Computer Vision, Graphics and Image Processing, 49(2):127-151.

101. WuKitt93.

Wu, S.F. and Kittler, J. (1993).
A gradient-based method for general motion estimation and segmentation
Journal of Visual Communication and Image Representation, 4(1):25-38.

102. YachAsadTsuj81

Yachida, M., Asada, M., and Tsuji, S. (1981).
Automatic analysis of moving images
IEEE Transactions on Pattern Analysis and Machine Intelligence, 3(1):12-20.

103. YalaMartAgga82

Yalamanchili, S., Martin, W.N., and Aggarwal, J.K. (1982).
Extraction of Moving Object Descriptions via Differencing
Computer Graphics and Image Processing, 18:188-201.

104. ZhanFaug92a

Zhang, Z. and Faugeras, O.D. (1992 a).
Three-dimensional motion computation and object segmentation in a long sequence of stereo frames
International Journal of Computer Vision, 7(3):211-241.
(.fr-abstract)

105. ZhenBlos95

Zheng, H. and Blostein, S.D. (September 1995).
Motion-based object segmentation and estimation using the MDL principle
IEEE Transactions on Image Processing, 4(9):1223-1235.

106. ZhenBillMayh+96

Zheng, Y., Billings, S.A., Mayhew, J.E.W., and Frisby, J.P. (1996).
Motion parameter recovery and 3D scene segmentation
Electronics Letters, 32(10):884-885.

Author Index

178 authors, 36 (20%) with homepage. First author references are printed boldface.

Year Index

Journal Index

The numbers in the columns `R', `A', and `P' indicate the year from which on you can expect to find online references, abstracts, and papers, respectively. A '?' indicates documents, that may be accessible only to subscribers.

32 journals, 14 (43%) with homepage.