DocumentCode :
2725855
Title :
Fast video stabilization algorithm for UAV
Author :
Shen, He ; Pan, Quan ; Cheng, Yongmei ; Yu, Ying
Author_Institution :
Coll. of Autom., Northwestern Polytech. Univ., Xi´´an, China
Volume :
4
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
542
Lastpage :
546
Abstract :
Video captured from Unmanned Aerial Vehicles (UAV) usually suffer from undesired motion of the sensors, which severely defects detecting and tracking targets of interest. In this paper, a fast video stabilization algorithm for UAV is proposed to remove undesired motions and produce stabilized images. Firstly, a set of fast matching strategies are considered to match successive frames. Then, with motion parameters between two successive frames, a polynomial fitting and predicting method is proposed to estimate the global motion parameters and find out the undesired frames. After that, the undesired images are compensated. Finally, all frames are transformed to obtain stabilized images. Experimental results demonstrate the stabilization and the efficiency of the proposed algorithm.
Keywords :
aerospace control; motion estimation; remotely operated vehicles; video signal processing; fast video stabilization algorithm; polynomial fitting method; predicting method; sensor motion; stabilized image; undesired motion removal; unmanned aerial vehicles; Cameras; Motion detection; Motion estimation; Parameter estimation; Pattern matching; Polynomials; Sections; Target tracking; Unmanned aerial vehicles; Video sequences; circular block matching; electronic video stabilization; image compensation; polynomial fitting and predicting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5357609
Filename :
5357609
Link To Document :
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