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» Hierarchical estimation for adaptive visual tracking
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CVPR
2010
IEEE
14 years 3 months ago
Exploiting Simple Hierarchies for Unsupervised Human Behavior Analysis
We propose a data-driven, hierarchical approach for the analysis of human actions in visual scenes. In particular, we focus on the task of in-house assisted living. In such scenar...
Fabian Nater, Helmut Grabner, Luc Van Gool
ICPR
2008
IEEE
14 years 8 months ago
Training sequential on-line boosting classifier for visual tracking
On-line boosting allows to adapt a trained classifier to changing environmental conditions or to use sequentially available training data. Yet, two important problems in the on-li...
Helmut Grabner, Horst Bischof, Jan Sochman, Jiri M...
CVPR
2004
IEEE
14 years 9 months ago
Multi-Scale Visual Tracking by Sequential Belief Propagation
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 ...
Gang Hua, Ying Wu
CVPR
1998
IEEE
14 years 9 months ago
Joint Probabilistic Techniques for Tracking Multi-Part Objects
Common objects such as people and cars comprise many visual parts and attributes, yet image-based tracking algorithms are often keyed to only one of a target's identifying ch...
Christopher Rasmussen, Gregory D. Hager
IVC
2007
89views more  IVC 2007»
13 years 7 months ago
Sequential Monte Carlo tracking by fusing multiple cues in video sequences
This paper presents visual cues for object tracking in video sequences using particle filtering. A consistent histogram-based framework is developed for the analysis of colour, e...
Paul Brasnett, Lyudmila Mihaylova, David R. Bull, ...