TY - GEN
T1 - An airborne image stabilization method based on the Gaussian mixture model
AU - Deng, Hongbin
AU - Jia, Yunde
AU - Xu, Yihua
AU - Liang, Wei
PY - 2007
Y1 - 2007
N2 - In this paper, an image stabilization method based on the adaptive Gaussian mixture model (GMM) is presented in order to smooth down the airborne image vibration. Firstly, the projection algorithm is adopted for the motion estimation; Secondly, GMM parameter is obtained after analyzing characteristics of the first n images; Finally, a stable image sequence is achieved after GMM motion filter operates on the motion parameter. The experimental results show that the method has the advantage of fast speed and effectively smooth unwanted vibration of image sequences.
AB - In this paper, an image stabilization method based on the adaptive Gaussian mixture model (GMM) is presented in order to smooth down the airborne image vibration. Firstly, the projection algorithm is adopted for the motion estimation; Secondly, GMM parameter is obtained after analyzing characteristics of the first n images; Finally, a stable image sequence is achieved after GMM motion filter operates on the motion parameter. The experimental results show that the method has the advantage of fast speed and effectively smooth unwanted vibration of image sequences.
UR - https://www.scopus.com/pages/publications/40949103855
U2 - 10.1109/ICSMC.2007.4413994
DO - 10.1109/ICSMC.2007.4413994
M3 - Conference contribution
AN - SCOPUS:40949103855
SN - 1424409918
SN - 9781424409914
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 3896
EP - 3900
BT - 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
T2 - 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Y2 - 7 October 2007 through 10 October 2007
ER -