Paper Info
Title
Detection of multiple moving objects using multiscale MRF with camera motion compensation
Abstract
We address the problem of detecting moving objects from a moving camera. The apparent flow field induced by the camera motion is modeled by a 2D parametric motion model and compensated for using the values of the parameters estimated by a multiresolution robust method. Motion detection is achieved through a statistical regularization approach based on multiscale Markov random field (MRF) models. Particular attention has been paid to the definition of the energy function involved and to the considered observations. This method has been validated by experiments carried out on different real image sequences
Year
DOI
Venue
1994
10.1109/ICIP.1994.413571
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Keywords
DocType
Volume
Markov processes,cameras,image registration,image resolution,image sequences,motion compensation,motion estimation,parameter estimation,2D parametric motion model,apparent flow field,camera motion compensation,energy function,experiments,image registration,image sequences,multiple moving objects detection,multiresolution robust method,multiscale MRF,multiscale Markov random field,observations,parameter estimation,statistical regularization
Conference
2
ISBN
Citations 
PageRank 
0-8186-6952-7
28
14.27
References 
Authors
5
2
Name
Order
Citations
PageRank
Jean-Marc Odobez114019.50
Patrick Bouthemy22675286.70