A tensor-driven active contour model for moving object segmentation

IEEE International Conference on Image Processing

Volumn 2, Issue , 2001, Pages 73-76

  Kuhne G ^a   Weickert, J ^a   Schuster, O ^a   Richter, S ^a  

^a UNIVERSITY OF MANNHEIM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VISION; IMAGE ANALYSIS; MOTION ESTIMATION; THREE DIMENSIONAL;

MOTION ANALYSIS; TENSOR-DRIVEN ACTIVE CONTOUR MODEL; VIDEO SEQUENCE;

IMAGE SEGMENTATION;

EID: 0035173047     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Information technology - Coding of audio-visual objects - Part 2: Visual
2. Enhancing CSS-based shape retrieval for objects with shallow concavities
3. A fast and robust moving object segmentation in video sequences
4. A noise robust method for segmentation of moving objects in video sequences
5. Geodesic active contours and level sets for the detection and tracking of moving objects
6. Extraction of moving objects for content-based video coding
7. Multidimensional orientation estimation with applications to texture analysis and optical flow
8. A tensor approach for precise computation of dense displacement vector fields
9. Coherence-enhancing diffusion of colour images
10. Snakes: Active contour models
11. Conformal curvature flows: From phase transitions to active vision
12. Geodesic active contours