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http://dx.doi.org/10.17662/ksdim.2018.14.1.077

A Method for Object Tracking Based on Background Stabilization  

Jung, Hunjo (한서대학교 항공소프트웨어공학과)
Lee, Dongeun (LG CNS 미래전략사업부)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.14, no.1, 2018 , pp. 77-85 More about this Journal
Abstract
This paper proposes a robust digital video stabilization algorithm to extract and track an object, which uses a phase correlation-based motion correction. The proposed video stabilization algorithm consists of background stabilization based on motion estimation and extraction of a moving object. The motion vectors can be estimated by calculating the phase correlation of a series of frames in the eight sub-images, which are located in the corner of the video. The global motion vector can be estimated and the image can be compensated by using the multiple local motions of sub-images. Through the calculations of the phase correlation, the motion of the background can be subtracted from the former frame and the compensated frame, which share the same background. The moving objects in the video can also be extracted. In this paper, calculating the phase correlation to track the robust motion vectors results in the compensation of vibrations, such as movement, rotation, expansion and the downsize of videos from all directions of the sub-images. Experimental results show that the proposed digital image stabilization algorithm can provide continuously stabilized videos and tracking object movements.
Keywords
Stabilization; Object Detection; Video Tracking; Phase Correlation; Motion Estimation;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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