A Motion Detection Algorithm Using Local Phase Information
Joint Authors
Ukani, Nikul H.
Zhou, Yiyin
Lazar, Aurel A.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-10
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Previous research demonstrated that global phase alone can be used to faithfully represent visual scenes.
Here we provide a reconstruction algorithm by using only local phase information.
We also demonstrate that local phase alone can be effectively used to detect local motion.
The local phase-based motion detector is akin to models employed to detect motion in biological vision, for example, the Reichardt detector.
The local phase-based motion detection algorithm introduced here consists of two building blocks.
The first building block measures/evaluates the temporal change of the local phase.
The temporal derivative of the local phase is shown to exhibit the structure of a second order Volterra kernel with two normalized inputs.
We provide an efficient, FFT-based algorithm for implementing the change of the local phase.
The second processing building block implements the detector; it compares the maximum of the Radon transform of the local phase derivative with a chosen threshold.
We demonstrate examples of applying the local phase-based motion detection algorithm on several video sequences.
We also show how the locally detected motion can be used for segmenting moving objects in video scenes and compare our local phase-based algorithm to segmentation achieved with a widely used optic flow algorithm.
American Psychological Association (APA)
Lazar, Aurel A.& Ukani, Nikul H.& Zhou, Yiyin. 2016. A Motion Detection Algorithm Using Local Phase Information. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-20.
https://search.emarefa.net/detail/BIM-1099761
Modern Language Association (MLA)
Lazar, Aurel A.…[et al.]. A Motion Detection Algorithm Using Local Phase Information. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-20.
https://search.emarefa.net/detail/BIM-1099761
American Medical Association (AMA)
Lazar, Aurel A.& Ukani, Nikul H.& Zhou, Yiyin. A Motion Detection Algorithm Using Local Phase Information. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-20.
https://search.emarefa.net/detail/BIM-1099761
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099761