DocumentCode
2828902
Title
Multiframe Bayesian tracking of cluttered targets with random motion
Author
Bruno, Marcelo G.S. ; Moura, José M F
Author_Institution
Electr. Eng. Dept., Sao Paulo Univ., Brazil
Volume
3
fYear
2000
fDate
2000
Firstpage
90
Abstract
We present in this paper a multiframe Bayesian algorithm for the detection and tracking of heavily cluttered rigid bodies with random translational and rotational motion. Monte Carlo simulations with synthetic targets and clutter show that the proposed algorithm achieves substantial performance gains over the common association of a maximum likelihood position estimator and a linearized Kalman-Bucy filter
Keywords
Bayes methods; Monte Carlo methods; clutter; image motion analysis; image sequences; object detection; random processes; target tracking; Monte Carlo simulations; cluttered targets; detection; heavily cluttered rigid bodies; multiframe Bayesian algorithm; multiframe Bayesian tracking; performance; random motion; rotational motion; tracking; translational motion; Bayesian methods; Clutter; Filters; Hidden Markov models; Image sensors; Lattices; Maximum likelihood estimation; Motion detection; Radar tracking; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.899302
Filename
899302
Link To Document