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» Hierarchical Feature Fusion for Visual Tracking
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ICIP
2007
IEEE
14 years 5 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»
13 years 9 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
BMVC
2002
13 years 6 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
13 years 9 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...
WACV
2008
IEEE
13 years 10 months ago
Likelihood Map Fusion for Visual Object Tracking
Visual object tracking can be considered as a figure-ground classification task. In this paper, different features are used to generate a set of likelihood maps for each pixel i...
Zhaozheng Yin, Fatih Porikli, Robert T. Collins