Abstract | ||
---|---|---|
In this paper, we propose a general purpose video-based tracking system that is robust to occlusion. The system is tracking moving objects that are represented by connected regions of pixels that are tracked over the video frames. The proposed tracking system design is based on recent ideas and results on robust set-valued state estimation for uncertain control systems. |
Year | Venue | Keywords |
---|---|---|
2009 | Control Conference | state estimation,video signal processing,moving objects tracking,robust set-valued state estimation,robust state estimation approach,uncertain control systems,video-based tracking system |
Field | DocType | ISBN |
Computer vision,General purpose,Tracking system,Robustness (computer science),Video tracking,Artificial intelligence,Pixel,Control system,Uncertain systems,Mathematics | Conference | 978-3-9524173-9-3 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Saleh Al-Takrouri | 1 | 4 | 1.08 |
Andrey V. Savkin | 2 | 85 | 18.09 |