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» Algorithmic Fusion for More Robust Feature Tracking
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CVPR
2011
IEEE
13 years 2 months ago
Learning-based Hypothesis Fusion for Robust Catheter Tracking in 2D X-ray Fluoroscopy
Catheter tracking has become more and more important in recent interventional applications. It provides real time guidance for the physicians and can be used as motion compensated...
Wen Wu, Terrence Chen, Adrian Barbu, Peng Wang, No...
FGR
2011
IEEE
247views Biometrics» more  FGR 2011»
13 years 2 months ago
Segment and recognize expression phase by fusion of motion area and neutral divergence features
—An expression can be approximated by a sequence of temporal segments called neutral, onset, offset and apex. However, it is not easy to accurately detect such temporal segments ...
Shizhi Chen, YingLi Tian, Qingshan Liu, Dimitris N...
VMV
2008
168views Visualization» more  VMV 2008»
14 years 9 days ago
Integrating robust likelihoods with Monte-Carlo filters for multi-target tracking
In this paper, a dynamic multi-modal fusion scheme for tracking multiple targets with Monte-Carlo filters is presented, with the goal of achieving robustness by combining complime...
Giorgio Panin, Thorsten Röder, Alois Knoll
IVC
2006
193views more  IVC 2006»
13 years 11 months ago
Object tracking in an outdoor environment using fusion of features and cameras
This paper presents methods for tracking moving objects in an outdoor environment. A robust tracking is achieved using feature fusion and multiple cameras. The proposed method int...
Quming Zhou, J. K. Aggarwal
GI
2007
Springer
14 years 5 months ago
Fuzzy Operators for Confidence Modelling in Automotive Safety Applications
: The fusion of data from different sensorial sources is the most promising method to increase robustness and reliability of environmental perception today. The paper presents an a...
Ulrich Scheunert, Philipp Lindner, Eric Richter, G...