Video object tracking using region split and merge and a Kalman filter tracking algorithm

IEEE International Conference on Image Processing

Volumn 1, Issue , 2001, Pages 650-653

  Vigus, S A ^a   Bull, D R ^a   Canagarajah, C N ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COLOR IMAGE PROCESSING; IMAGE QUALITY; IMAGE SEGMENTATION; KALMAN FILTERING; MERGING; VECTOR QUANTIZATION; VIDEO SIGNAL PROCESSING;

KALMAN FILTER TRACKING ALGORITHM; VECTOR KALMAN PREDICTOR; VIDEO OBJECT TRACKING;

OBJECT RECOGNITION;

EID: 0035158721     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Tracking of nonrigid motion and 3D structures from 2D image sequences without correspondences
2. Robust region merging for spatio-temporal segmentation
3. Spatio-temporal wavelet transforms for motion tracking
4. Tracking and motion estimation of the articulated object: A hierarchical Kalman filter approach
5. 3D motion estimation of video objects using A-priori data and 2D apparent motion
6. Kalman filtering motion prediction for recursive spatio-temporal segmentation and object tracking
7. Maneuvering target tracking with an adaptive Kalman filter
8. A Kalman-filtering method for 3D camera motion estimation from image sequences
9. Similarity retrieval by 2D C-trees matching in image databases
10. Fast and accurate edge-based segmentation without contour smoothing in 2-d real images
11. A novel rigid object segmentation method based on multiresolution 3-D motion and luminance analysis