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Motion-based object segmentation using hysteresis and bidirectional inter-frame change detection in sequences with moving camera
Citation key 1430Arvanitidou2013
Author Marina Georgia Arvanitidou and Michael Tok and Alexander Glantz and Andreas Krutz and Thomas Sikora
Pages 1420–1434
Year 2013
Journal Signal Processing: Image Communication
Volume 28
Number 10
Month nov
Abstract We present an unsupervised motion-based object segmentation algorithm for video sequences with moving camera, employing bidirectional inter-frame change detection. For every frame, two error frames are generated using mo- tion compensation. They are combined and a segmentation algorithm based on thresholding is applied. We employ a simple and effective error fusion scheme and consider spatial error localization in the thresholding step. We find the optimal weights for the weighted mean thresholding algorithm that enables unsupervised robust moving object segmentation. Further, a post processing step for improving the temporal consistency of the segmentation masks is incorporated and thus we achieve improved performance compared to previously proposed methods. The experimental evaluation and compari- son with other methods demonstrates the validity of the proposed method.
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