Name
Abstract | ||
|---|---|---|
A novel multi-band joint local sparse tracking algorithm via wavelet transforms is proposed in this study. The object image may contain rich information of different types; the authors use wavelet transforms to decompose the object image into some sub-band images first. This will help extract the information in different frequency ranges for the object. Then same block operation is executed on all... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/iet-cvi.2016.0079 | IET Computer Vision |
Keywords | Field | DocType |
feature extraction,image fusion,image representation,image sequences,matrix algebra,object tracking,video signal processing,wavelet transforms | Diagonal,Computer vision,Coefficient matrix,Multi band,Pattern recognition,Sparse approximation,Active appearance model,Artificial intelligence,Mathematics,Wavelet transform | Journal |
Volume | Issue | ISSN |
10 | 8 | 1751-9632 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||