24 search results - page 3 / 5 » Hierarchical Feature Fusion for Visual Tracking |
ICCV
2009
IEEE
13 years 2 months ago
2009
IEEE
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
IVC
2008
13 years 5 months ago
2008
Inspite extensive research on visual tracking of multiple people in computer vision area, the robustness and usability of visual trackers are still discouraging. Recently, a few l...
3DIM
2003
IEEE
13 years 10 months ago
2003
IEEE
Adaptive fusion of new information in a 3D urban scene is an important goal to achieve in computer vision, graphics, and visualization. In this work we acquire new image pairs of ...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
A novel statistical method is proposed in this paper to overcome abrupt motion for robust visual tracking. Existing tracking methods that are based on the small motion assumption ...
PREMI
2005
Springer
13 years 10 months ago
2005
Springer
The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...