Wavelet-based moving object segmentation using background registration technique

Authors:
Tae Hyung Im;Il Kyu Eom;Yoo Shin Kim
Affiliations:
Pusan National University, Jangieon-dong, Kumjeong-gu, Pusan, Korea;Pusan National University, Jangieon-dong, Kumjeong-gu, Pusan, Korea;Pusan National University, Jangieon-dong, Kumjeong-gu, Pusan, Korea
Venue:
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Year:
2007

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Abstract

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.