Motion detection with a view toward VLSI implementation
Date
2007
Authors
Tan, X.
Chong, S.
Rainsford, T.
Al-Sarawi, S.
Editors
Al-Sarawi, S.
Advisors
Journal Title
Journal ISSN
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Conference paper
Citation
Smart structures, devices, and systems III: 11-13 December 2006, Adelaide, Australia / Said F. Al-Sarawi (ed.):pp.64141S 1-8
Statement of Responsibility
Xu Jiang Tan, Stephanie Chong, Tamath Rainsford, and Said Al-Sarawi
Conference Name
Smart Structures, Devices, and Systems III (2006 : Adelaide, Australia)
Abstract
A small low-cost motion detector would have widespread applications in visual control systems such as miniature unmanned aerial vehicles and collision avoidance systems. In the last 20 years a number of analog VLSI chips have been developed which incorporate both photodetection and motion computation on the same chip. Nevertheless, artificial real-time vision and simple seeing systems remain a massive challenge mainly because the environment greatly impacts on their performance. On the other hand, biological systems have, through years of evolution, come up with a number of simple but clever solutions. The Reichardt Correlator is a biologically inspired model for motion detection. However, the basic model is not a robust estimator of velocity. The accuracy and reliability of this model can be significantly improved through various elaborations. VLSI is ideally suited to the parallel processing seen in nature because it allows for high device integration density and complex implementation of complex functions. Howsoever, VLSI poses some serious bounds on the types of elaborations that can be implemented. We have explored this problem and will present a number of improved models with robust outputs that are practical in terms of real time implementation in microchips.
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Copyright ©2007 SPIE - The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.