Name
Abstract | ||
|---|---|---|
A new anti-occlusion particle filter object-tracking method based on feature fusion is proposed in this study. Colour and local binary pattern features are extracted and additively fused with a deterministic coefficient, which is calculated based on the difference between the object features and the background. An integral cumulative histogram is proposed to reduce the computational cost of featur... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2017.1068 | IET Image Processing |
Keywords | Field | DocType |
feature extraction,image colour analysis,image filtering,least squares approximations,object tracking,particle filtering (numerical methods) | Computer vision,Histogram,Occlusion,Pattern recognition,Particle filter,Local binary patterns,Image retrieval,Robustness (computer science),Feature extraction,Video tracking,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 9 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruohong Huan | 1 | 18 | 6.30 |
| Shenglin Bao | 2 | 0 | 0.34 |
| Chu Wang | 3 | 22 | 6.70 |
| Yun Pan | 4 | 1 | 4.45 |