Name
Abstract | ||
|---|---|---|
•The Haar-like features generated from LSH feature image are used to represent the target appearance model, which can handle illumination changes.•A color attributes tracker is employed to predict the target position and to re-build the new discriminant function.•A novel model updating mechanism is proposed to maintain the stability of the features while avoiding noisy.•A trajectory rectification method is adopted to make the finally estimated location more accurate and avoid drifting.•The proposed tracker outperforms state-of-the-art trackers over the recent challenging tracking benchmark data set. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.patcog.2017.07.006 | Pattern Recognition |
Keywords | Field | DocType |
Compressive tracking,Locality Sensitive Histograms,Tracking-by-detection | Computer vision,Histogram,Rectification,Locality,Compressive tracking,Pattern recognition,Invariant (mathematics),Artificial intelligence,Mathematics,Discriminant function analysis,Trajectory | Journal |
Volume | Issue | ISSN |
72 | 1 | 0031-3203 |
Citations | PageRank | References |
1 | 0.35 | 20 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sixian Chan | 1 | 12 | 7.69 |
| Xiaolong Zhou | 2 | 103 | 19.67 |
| Junwei Li | 3 | 3 | 2.77 |
| Sheng-Yong Chen | 4 | 1077 | 114.06 |