Segmentation of moving objects in image sequence: A review

Circuits, Systems, and Signal Processing

Volumn 20, Issue 2, 2001, Pages 143-183

  Zhang, D ^a   Lu, G ^a  

^a UNIVERSITY OF BALLARAT   (Australia)

Author keywords

Image video segmentation; Motion estimation; Multimedia; Optical flow; Video segmentation

Indexed keywords

ALGORITHMS; IMAGE CODING; IMAGE COMPRESSION; MOTION ESTIMATION; MULTIMEDIA SYSTEMS; STANDARDS;

IMAGE SEQUENCE; MOVING PICTURES EXPERTS GROUP; OPTICAL FLOW;

IMAGE SEGMENTATION;

EID: 0034896977     PISSN: 0278081X     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF01201137     Document Type: Article

References (85)

1. Statistical model-based change detection in moving video
2. Determining three-dimensional motion and structure from optical flow generated by several moving objects
3. On the computation of motion from sequences of images-a review
4. The computation of optical flow
5. Recovering feature and observer position by projected error refinement
6. Motion. Segmentation by multi-stage affine classification
7. Motion segmentation and qualitative dynamic scene analysis from an image sequence
8. An algorithm for simultaneous motion estimation and segmentation
9. Automatic segmentation based on spatio-temporal information
10. Merging of temporal and spatial segmentation
11. New ETRI results on core experiment N2 on automatic segmentation techniques
12. Spatio-temporal video segmentation using a joint similarity measure
13. Perception of surface slant and edge labels from optical flow: A computational approach
14. Moving objects versus still background classification: A spatial temporal segmentation tool for MPEG-4
15. Core experiment N2: Preliminary FUB results on combination of automatic segmentation techniques
16. Segmentation techniques: Towards a semi-automatic approach
17. User interactions modes in semi-automatic segmentation: Development of a flexible graphical user interface in Java
18. Object-oriented motion estimation and segmentation in image
19. Segmentation-based motion estimation for second generation video coding techniques
20. Spatio-temporal segmentation based on motion and static segmentation
21. Three-dimensional vision for structure and motion estimation
22. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
23. Survey: Image segmentation techniques
24. Determining optical flow
25. Image segmentation based on object oriented mapping parameter estimation
26. Accurate computation of optical flow by using layered motion motion representation
27. Detecting and tracking multiple moving objects using temporal integration
28. Dynamic scene analysis using pixel-based processes
29. Difference and accumulative difference pictures in dynamic scene analysis
30. Segmentation through the detection of changes due to motion
31. On the analysis of accumulative difference pictures from image sequences of real world scenes
32. Segmentation of frame sequences obtained by a moving observer
33. An approach to the segmentation of textured dynamic scenes
34. 3D structure from 2D motion
35. User-assisted segmentation for moving objects of interest
36. User-assisted video object segmentation by multiple object tracking with a graphical user interface
37. Users guide for a user-assisted video object segmentation tool
38. Bayesian estimation of motion vector field
39. Second generation image coding techniques
40. Recovery of egomotion and segmentation of independent object motion using the EM-algorithm
41. Automatic segmentation of moving objects (Core experiment N2)
42. Automatic segmentation of moving objects (Partial results of core experiment N2)
43. A noise robust method for 2D shape estimation of moving objects in video sequences considering a moving camera
44. Segmentation for video object plane extraction and reduction of coding artifacts
45. Automatic segmentation based on Hausdoff object tracking
46. A robust Markovian segmentation based on highest confidence first (HCF)
47. Detecting the image boundaries between optical flow fields from several moving planar facets
48. Scene segmentation from visual motion using global optimization
49. Object-oriented analysis coding of moving images
50. Motion boundary detection in image sequences by local stochastic test
51. Automatic moving object and background separation
52. Gradient-based flow segmentation and location of the focus of expansion
53. A review on image segmentation techniques
54. An adaptive clustering algorithm for image segmentation
55. Relative depth estimation and segmentation in monocular schemes
56. Velocity as a cue to segmentation
57. Scene segmentation using motion information
58. Second generation image coding: An overview
59. Estimating three-dimensional motion parameters of a rigid planar patch
60. Results of FUB user assisted segmentation environment
61. Morphological operators for image and video compression
62. Segmentation-based video coding system allowing the manipulation of objects
63. Hierarchical morphological segmentation for image sequence coding
64. View synthesis using stereo vision
65. Image flow segmentation and estimation by constraint line clustering
66. The early detection of motion boundaries
67. Object-based estimation of dense motion fields
68. Estimating motion in image sequences: A tutorial on modeling and computation of 2D motion
69. Motion compensating interpolation considering covered and uncovered background
70. Dynamic occlusion analysis in optical flow fields
71. Motion segmentation and outlier detection
72. Statistical detection of independent movement from a moving camera
73. On the use of layers for video coding and object manipulation
74. Second generation video coding schemes and their role in MPEG-4
75. Watersheds in digital spaces: An efficient algorithm based on immersion simulations
76. Representing moving images with layers
77. Image structure analysis for CBIR