Name
Abstract | ||
|---|---|---|
The development of various video applications requires the tracker to have efficient classification and accurate object state estimation. Recently, the feature fusion plays a vital role in term of accuracy and robustness for a visual tracking system. The traditional feature fusion methods are generally performed via direct summation or concatenation operation, which are entirely unaware of importa... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.23919/ICAC50006.2021.9594244 | 2021 26th International Conference on Automation and Computing (ICAC) |
Keywords | DocType | ISBN |
Training,Visualization,Target tracking,Estimation,Interference,Feature extraction,Robustness | Conference | 978-1-86043-557-7 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||