Estimation of complex multimodal motion: an approach based on robust statistics and Hough transform

Image and Vision Computing

Volumn 12, Issue 10, 1994, Pages 661-668

  Bober, Miroslaw ^a   Kittler, Josef ^a  

^a UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

Hough transform; motion segmentation; robust motion estimation

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; ESTIMATION; IMAGE SEGMENTATION; MATHEMATICAL TRANSFORMATIONS; OPTICAL FLOWS; STATISTICAL METHODS; THREE DIMENSIONAL;

HOUGH TRANSFORM; MOTION ESTIMATION; MOTION SEGMENTATION; MULTIMODAL MOTION; TWO DIMENSIONAL;

COMPUTER VISION;

EID: 0028728304     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/0262-8856(94)90041-8     Document Type: Article

References (15)

1. Determining optical flow
2. An investigation of smoothness constraints for the estimation of displacement vector fileds from image sequences
3. Multimodal motion estimation and segmentation using Markov random fields
4. General motion estimation and segmentation
5. Hierarchical model-based motion estimation
6. Determining three-dimensional motion and structure from optical flow generated by several moving objects
7. An approach to the segmentation of textured dynamic scenes
8. General motion estimation and segmentation
9. A survey of the Hough transform
10. A Hough transform based hierarchical algorithm for motion segmentation and estimation
11. Image analysis using multigrid relaxation methods
12. Non-normality and tests on variance
13. Robust estimation of a location parameter
14. Contributions to the theory of robust estimation