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DICTA
2003
13 years 7 months ago
Probabilistic Multiple Cue Integration for Particle Filter Based Tracking
Robust visual tracking has become an important topic in the field of computer vision. The integration of cues such as color, edge strength and motion has proved to be a promising ...
Chunhua Shen, Anton van den Hengel, Anthony R. Dic...
AVSS
2009
IEEE
13 years 7 months ago
Object Tracking from Unstabilized Platforms by Particle Filtering with Embedded Camera Ego Motion
Visual tracking with moving cameras is a challenging task. The global motion induced by the moving camera moves the target object outside the expected search area, according to th...
Carlos R. del-Blanco, Narciso N. García, Lu...
VMV
2008
168views Visualization» more  VMV 2008»
13 years 7 months 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
CLEAR
2006
Springer
230views Biometrics» more  CLEAR 2006»
13 years 9 months ago
An Audio-Visual Particle Filter for Speaker Tracking on the CLEAR'06 Evaluation Dataset
We present an approach for tracking a lecturer during the course of his speech. We use features from multiple cameras and microphones, and process them in a joint particle filter f...
Kai Nickel, Tobias Gehrig, Hazim Kemal Ekenel, Joh...
IJCAI
2003
13 years 7 months ago
People Tracking with Anonymous and ID-Sensors Using Rao-Blackwellised Particle Filters
Estimating the location of people using a network of sensors placed throughout an environment is a fundamental challenge in smart environments and ubiquitous computing. Id-sensors...
Dirk Schulz, Dieter Fox, Jeffrey Hightower