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» An Adaptive Fusion Architecture for Target Tracking
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FGR
2002
IEEE
185views Biometrics» more  FGR 2002»
13 years 9 months ago
An Adaptive Fusion Architecture for Target Tracking
A vision system is demonstrated that adaptively allocates computational resources over multiple cues to robustly track a target in 3D. The system uses a particle filter to mainta...
Gareth Loy, Luke Fletcher, Nicholas Apostoloff, Al...
JUCS
2010
134views more  JUCS 2010»
13 years 3 months ago
Track-To-Track Measurement Fusion Architectures and Correlation Analysis
: The purpose of this paper is to address some theoretical issues related to the track-to-track fusion problem when the measurements tracking the same target are inherently correla...
Mourad Oussalah, Zahir Messaoudi, Abdelaziz Ouldal...
CVPR
2007
IEEE
14 years 6 months ago
Online Spatial-temporal Data Fusion for Robust Adaptive Tracking
One problem with the adaptive tracking is that the data that are used to train the new target model often contain errors and these errors will affect the quality of the new target...
Jixu Chen, Qiang Ji
ICIP
2003
IEEE
14 years 6 months ago
Video object segmentation and tracking in stereo sequences using adaptable neural networks
In this paper, an adaptive neural network architecture is proposed for efficient video object segmentation and tracking of stereoscopic sequences. The scheme includes (a) a retrai...
Nikolaos D. Doulamis, Anastasios D. Doulamis
CVPR
2003
IEEE
13 years 9 months ago
Appearance Management and Cue Fusion for 3D Model-Based Tracking
This paper presents a systematic approach to acquiring model appearance information online for monocular modelbased tracking. The acquired information is used to drive a set of co...
Nils Krahnstoever, Rajeev Sharma