Wavelet-based Moving Object Segmentation using Background Registration Technique

T.H. Im, I.K. Eom, and Y.S. Kim (Korea)


Moving object segmentation, wavelet coefficient, change detection, background registration, video object plane


This paper proposes wavelet-based moving object segmentation using change detection and background registration technique. The inter-frame difference for detecting change was calculated by using high frequency coefficients in wavelet subbands. The background was constructed with low frequency wavelet coefficients which were the approximated version of the original image. Combining detected changes and constructed backgrounds, we propose an efficient moving object segmentation algorithm. Our experimental results show that our proposed method obtains accurate video object planes (VOPs) in a video sequence.

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