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A Bayesian Approach to Simultaneous Motion Estimation of Multiple Independently Moving Objects
Quebec City, QC, Canada August 11-August 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.104785516th International Conference on Patt ...
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Gang Qian, Rama Chellappa, Qinfen Zheng, "A Bayesian Approach to Simultaneous Motion Estimation of Multiple Independently Moving Objects," Pattern Recognition, International Conference on, vol. 3, pp. 30309, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002.
 
 
BibTex
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@article{ 10.1109/ICPR.2002.1047855,
author = {Gang Qian and Rama Chellappa and Qinfen Zheng},
title = {A Bayesian Approach to Simultaneous Motion Estimation of Multiple Independently Moving Objects},
journal ={Pattern Recognition, International Conference on},
volume = {3},
year = {2002},
issn = {1051-4651},
pages = {30309},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1047855},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - A Bayesian Approach to Simultaneous Motion Estimation of Multiple Independently Moving Objects
SN - 1051-4651
SP
EP
A1 - Gang Qian,
A1 - Rama Chellappa,
A1 - Qinfen Zheng,
PY - 2002
KW - null
VL - 3
JA - Pattern Recognition, International Conference on
ER -
 
Gang Qian, University of Maryland at College Park
Rama Chellappa, University of Maryland at College Park
Qinfen Zheng, University of Maryland at College Park
In this paper, the problem of simultaneous motion estimation of multiple independently moving objects is addressed. A novel Bayesian approach is designed for solving this problem using the sequential importance sampling (SIS) method. In the proposed algorithm, a balancing step is added into the SIS procedure to preserve samples of low weights so that all objects have enough samples to propagate empirical motion distributions. By using the proposed algorithm, the relative motions of all moving objects with respect to camera can be simultaneously estimated . This algorithm has been tested on both synthetic and real image sequences. Improved results have been achieved.
Citation:
Gang Qian, Rama Chellappa, Qinfen Zheng, "A Bayesian Approach to Simultaneous Motion Estimation of Multiple Independently Moving Objects," icpr, vol. 3, pp.30309, 16th International Conference on Pattern Recognition (ICPR'02) - Volume 3, 2002
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