Authors: Hong-bin Deng, Yuan-yuan He, Zhen-yong Guo
Addresses: Beijing Laboratory of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China. ' School of Aerospace Science and Engineering, Beijing Institute of Technology, Beijing, 100081, China. ' Institute of Electronics, Chinese Academy of Sciences, Beijing, 100081, China
Abstract: In this paper, a fast detection method of moving target from real-time airborne videos is presented. We first explore the motion relationship in an airborne video and utilise the global motion estimation to estimate the background movement, and then use binocular interpolation for motion compensation; thus, the moving target detection in dynamic airborne videos is converted into detection in static backgrounds. A method involving the multiplication of the differences of the symmetrical images among three adjacent frames is adopted to enhance moving target and increase the difference between the target and background noises. The regional growth and morphological image processing techniques are employed finally to realise target segmentation. Experimental results demonstrate the effectiveness and robustness of our algorithm.
Keywords: airborne videos; target detection; motion estimation; moving targets; real-time videos; background movement; binocular interpolation; motion compensation; image processing; target segmentation.
International Journal of Modelling, Identification and Control, 2011 Vol.12 No.1/2, pp.22 - 28
Published online: 31 Dec 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article