1401 search results - page 29 / 281 » Probabilistic Object Tracking Using Multiple Features |
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
In our method for tracking objects, appearance features are smoothed by robust and adaptive Kalman filters, one to each pixel, making the method robust against occlusions. While t...
HCI
2009
13 years 5 months ago
2009
Abstract. In many applications of Augmented Reality (AR), rectangular markers are tracked in real time by capturing with cameras. In this paper, we consider the AR application in w...
ACIVS
2009
Springer
14 years 10 days ago
2009
Springer
Applications such as traffic surveillance require a real-time and accurate method for object tracking. We propose to represent scene observations with parabola segments with an alg...
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
Abstract. There has been much effort invested in increasing the robustness of human body tracking by incorporating motion models. Most approaches are probabilistic in nature and se...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...