Review of bioinspired real-time motion analysis systems

Tamath Rainsford; Said Al-Sarawi; Axel Bender

doi:10.1117/12.638310

19 January 2006 Review of bioinspired real-time motion analysis systems

Tamath Rainsford, Said Al-Sarawi, Axel Bender

Proceedings Volume 6036, BioMEMS and Nanotechnology II; 60360Y (2006) https://doi.org/10.1117/12.638310
Event: Microelectronics, MEMS, and Nanotechnology, 2005, Brisbane, Australia

Abstract

Flying insects are able to manoeuvre through complex environments with remarkable ease and accuracy despite their simple visual system. Physiological evidence suggests that flight control is primarily guided by a small system of neurons tuned to very specific types of complex motion. This system is a promising model for bio-inspired approaches to low-cost artificial motion analysis systems, such as collision avoidance devices. A number of models of motion detection have been proposed, with the basic model being the Reichardt Correlator. Electrophysiological data suggest a variety of non-linear elaborations, which include compressive non-linearities and adaptive feedback of local motion detector outputs. In this paper we review a number of computational models for motion detection from the point of view of ease of implementation in low cost VLSI technology. We summarise the features of biological motion analysis systems that are important for the design of real-time artificial motion analysis systems. Then we report on recent progress in bio-inspired analog VLSI chips that capture properties of biological neural computation.

Citation Download Citation

Tamath Rainsford, Said Al-Sarawi, and Axel Bender "Review of bioinspired real-time motion analysis systems", Proc. SPIE 6036, BioMEMS and Nanotechnology II, 60360Y (19 January 2006); https://doi.org/10.1117/12.638310

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available