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» Articulated Object Tracking via a Genetic Algorithm
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ACIIDS
2009
IEEE
159views Database» more  ACIIDS 2009»
13 years 4 months ago
Application to GA-Based Fuzzy Control for Nonlinear Systems with Uncertainty
In this study, we strive to combine the advantages of fuzzy theory, genetic algorithms (GA), H tracking control schemes, smooth control and adaptive laws to design an adaptive fuzz...
Po-Chen Chen, Ken Yeh, Cheng-Wu Chen, Chen-Yuan Ch...
CVPR
2009
IEEE
3538views Computer Vision» more  CVPR 2009»
15 years 1 months ago
Markerless Motion Capture with Unsynchronized Moving Cameras
In this work we present an approach for markerless motion capture (MoCap) of articulated objects, which are recorded with multiple unsynchronized moving cameras. Instead of usin...
Bodo Rosenhahn, Hans-Peter Seidel, Juergen Gall, M...
ICPR
2004
IEEE
14 years 7 months ago
Extraction and Clustering of Motion Trajectories in Video
A system is described that tracks moving objects in a video dataset so as to extract a representation of the objects' 3D trajectories. The system then finds hierarchical clus...
Dan Buzan, George Kollios, Stan Sclaroff
SCALESPACE
1999
Springer
13 years 11 months ago
Morphing Active Contours
ÐA method for deforming curves in a given image to a desired position in a second image is introduced in this paper. The algorithm is based on deforming the first image toward the...
Marcelo Bertalmío, Guillermo Sapiro, Gregor...
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 27 days ago
Analysis of noisy time-series signals with GA involving viral infection with tropism
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
Yuji Sato, Yuta Yasuda, Ryuji Goto