Name
Title | ||
|---|---|---|
Joint particle filters and multi-mode anisotropic mean shift for robust tracking of video objects with partitioned areas |
Abstract | ||
|---|---|---|
We propose a novel scheme that jointly employs anisotropic mean shift and particle filters for tracking moving objects from video. The proposed anisotropic mean shift, that is applied to partitioned areas in a candidate object bounding box whose parameters (center, width, height and orientation) are adjusted during the mean shift iterations, seeks multiple local modes in spatial-kernel weighted color histograms. By using a Gaussian distributed Bhattacharyya distance as the likelihood and mean shift updated parameters as the state vector, particle filters become more efficient in terms of tracking using a small number of particles (<20). The combined scheme is able to maintain the merits of both methods. Experiments conducted on videos containing deformable objects with long-term partial occlusions and intersections have shown robust tracking performance. Comparisons with two existing methods have been made which showed marked improvement in terms of robustness to occlusions, tightness and accuracy of tracked box, and tracking drift. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICIP.2009.5413701 | Image Processing |
Keywords | Field | DocType |
Gaussian processes,image colour analysis,iterative methods,object detection,particle filtering (numerical methods),tracking,video signal processing,Gaussian distributed Bhattacharyya distance,joint particle filters,mean shift iterations,moving object tracking,multimode anisotropic mean shift,robust tracking,spatial-kernel weighted color histograms,state vector,tracked box,tracking drift,video objects,joint mean shift and particle filters,multi-mode anisotropic mean shift,object tracking,particle filters | Object detection,Computer vision,State vector,Bhattacharyya distance,Computer science,Particle filter,Robustness (computer science),Video tracking,Artificial intelligence,Mean-shift,Minimum bounding box | Conference |
ISSN | ISBN | Citations |
1522-4880 E-ISBN : 978-1-4244-5655-0 | 978-1-4244-5655-0 | 7 |
PageRank | References | Authors |
0.52 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zulfiqar Hasan Khan | 1 | 18 | 1.86 |
| Irene Yu-Hua Gu | 2 | 613 | 35.06 |
| Andrew G. Backhouse | 3 | 24 | 4.04 |