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» Hierarchical Feature Fusion for Visual Tracking
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ICIP
2007
IEEE
10 years 1 months ago
Hierarchical Feature Fusion for Visual Tracking
A new method for object tracking in video sequences is presented. This method exploits the benefits of particle filters to tackle the multimodal distributions emerging from clutte...
Alexandros Makris, Dimitrios I. Kosmopoulos, Stavr...
CLEAR
2007
Springer
195views Biometrics» more  CLEAR 2007»
9 years 5 months ago
Multi-level Particle Filter Fusion of Features and Cues for Audio-Visual Person Tracking
In this paper, two multimodal systems for the tracking of multiple users in smart environments are presented. The first is a multiview particle filter tracker using foreground, c...
Keni Bernardin, Tobias Gehrig, Rainer Stiefelhagen
VMV
2008
168views Visualization» more  VMV 2008»
9 years 25 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
BMVC
2002
9 years 1 months ago
Tightly Integrated Sensor Fusion for Robust Visual Tracking
This paper presents novel methods for increasing the robustness of visual tracking systems by incorporating information from inertial sensors. We show that more can be achieved th...
Georg S. W. Klein, Tom Drummond
GI
2007
Springer
9 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...
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