Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/108925
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Type: Conference paper
Title: Quantifying asynchrony of multiple cameras using aliased optical devices
Author: Evans, B.
Parslow, B.
O'Carroll, D.
Wiederman, S.
Citation: Proceedings of the 5th International Conference on Image Processing, Theory, Tools and Applications, 2015 / Jennane, R. (ed./s), pp.567-572
Publisher: IEEE
Issue Date: 2015
Series/Report no.: International Conference on Image Processing Theory Tools and Applications
ISBN: 9781479986354
ISSN: 2154-512X
Conference Name: IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA) (10 Nov 2015 - 13 Nov 2015 : Orleans, France)
Statement of
Responsibility: 
Bernard J. E. Evans, Ben A. Parslow, David C. O'Carroll and Steven D. Wiederman
Abstract: We present a new method for estimating asynchrony between off-the-shelf consumer-targeted camera systems. The system utilizes local aliasing induced by oscillating LEDs to perform post-hoc calculations. The system is capable of determining the asynchrony between cameras down to fidelity of less than a tenth of a frame. This system has numerous applications in the field of behavioural analysis of animals using arrays of inexpensive cameras.
Keywords: Image processing, image processing application, synchronization
Rights: © 2015 IEEE
RMID: 0030047438
DOI: 10.1109/IPTA.2015.7367211
Grant ID: http://purl.org/au-research/grants/arc/DP130104572
http://purl.org/au-research/grants/arc/DP130104561
http://purl.org/au-research/grants/arc/DE150100548
Appears in Collections:Medicine publications

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