Name
Title | ||
|---|---|---|
Robust Object Tracking with Adaptive Fusion of Color and Edge Strength Local Mean Features Based on Particle Filter |
Abstract | ||
|---|---|---|
Aiming at the problem of real time and robustness of visual object tracking in a clutter background, an adaptive fusion of color rectangle feature and edge strength local mean tracking algorithm based on Particle Filter is put forward. To improve the tracking speed and precision, integral image is used to quickly compute the color rectangle feature and edge strength local mean, besides fuzzy logic is applied to adaptively adjust each feature weight. The simulation results illustrate the algorithm is robust and effective. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IFITA.2009.157 | IFITA (3) |
Keywords | Field | DocType |
information technology,cost function,fuzzy logic,lighting,computer vision,object tracking,navigation,real time systems,integral image,particle filters,robustness,image fusion,pattern recognition,edge detection,colored noise,particle filter,visual tracking | Object detection,Computer vision,Image fusion,Pattern recognition,Clutter,Edge detection,Particle filter,Fuzzy logic,Robustness (computer science),Video tracking,Artificial intelligence,Mathematics | Conference |
Volume | Issue | Citations |
3 | null | 1 |
PageRank | References | Authors |
0.34 | 19 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chunxin Li | 1 | 1 | 0.34 |
| XiaoTong Wang | 2 | 51 | 4.85 |
| XiaoGang Xu | 3 | 74 | 6.20 |