Title :
A Bayesian Algorithm for Motion and Structure Estimation from Image Sequences
Author :
Wu, Shuang ; von der Malsburg, Christoph
Author_Institution :
Univ. of Southern California, Los Angeles
Abstract :
We propose a general Bayesian framework to simultaneously solve the problems of visual tracking and structure-from-motion using a sequential Monte Carlo method. We demonstrate the functionality of the system on some simple examples.
Keywords :
Bayes methods; Monte Carlo methods; image sequences; motion estimation; tracking; Bayesian algorithm; image sequences; motion estimation; sequential Monte Carlo method; structure estimation; visual tracking; Bayesian methods; Biological neural networks; Biomedical optical imaging; Geometrical optics; Image motion analysis; Image sequences; Motion estimation; Optical noise; Optical sensors; Physics;
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2007.4371430
