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Moving object detection in wavelet compressed video

delete2005-03-01
delete46
PRE
AI
B
Behçet Uğur Töreyın
A
Ahmet Enis Çetin
A
Anil Aksay
M
M.B. Akhan
DOI：10.1016/j.image.2004.12.002delete
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Abstract

Abstract

En 中文
In many surveillance systems the video is stored in wavelet compressed form. In this paper, an algorithm for moving object and region detection in video which is compressed using a wavelet transform (WT) is developed. The algorithm estimates the WT of the background scene from the WTs of the past image frames of the video. The WT of the current image is compared with the WT of the background and the moving objects are determined from the difference. The algorithm does not perform inverse WT to obtain the actual pixels of the current image nor the estimated background. This leads to a computationally efficient method and a system compared to the existing motion estimation methods. (c) 2005 Published by Elsevier B.V.
Keywords:
moving region detection
wavelet compressed video
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Journal

S
Signal Processing and Image Communication
IF:
2.7
Papers:
2.8K
Citations:
4.2K

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