113 search results - page 10 / 23 » Integration of Dependent Bayesian Filters for Robust Trackin... |
225
Voted
SETN
2010
Springer
15 years 1 months ago
2010
Springer
A method for object tracking combining the accuracy of mean shift with the robustness to occlusion of Kalman filtering is proposed. At first, an estimation of the object's pos...
167
Voted
CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
127
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CVPR
2000
IEEE
15 years 8 months ago
2000
IEEE
We present a framework for tracking rigid objects based on an adaptive Bayesian recognition technique that incorporates dependencies between object features. At each frame we fin...
109
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
This paper introduces a hierarchical approach for multicomponent tracking, where the object-to-be-tracked is modeled as a group of spatial related parts. We propose to use a robus...
119
click to vote
CVPR
2005
IEEE
16 years 5 months ago
2005
IEEE
We propose a model-based tracking method, called appearance-guided particle filtering (AGPF), which integrates both sequential motion transition information and appearance informa...