Smart sensor motion detection schemes in a noisy environment

Gregory P. Harmer; Derek Abbott

doi:10.1117/12.418770

16 March 2001 Smart sensor motion detection schemes in a noisy environment

Gregory P. Harmer, Derek Abbott

Proceedings Volume 4236, Smart Electronics and MEMS II; (2001) https://doi.org/10.1117/12.418770
Event: Smart Materials and MEMS, 2000, Melbourne, Australia

Abstract

Several motion detection schemes are considered and their responses to noisy signals investigated. The detection schemes include the Reichardt correlation detector, shunting inhibition neuron and the Horridge template model. These schemes are directionally selective and independent to the change in contrast. They essentially function by using spatial information and comparing it at successive time intervals. Using the detectors, the phenomenon of stochastic resonance (SR) is employed. SR is characterised by an improvement in response to a nonlinear system when noise is added to the input signal. Two types of SR are also considered, namely, subthreshold aperiodic and suprathreshold. Using stochastic resonance, the schemes are subjected to signals in an effort to improve the detectors responses with the addition of noise. We found that although added noise only further degrades the detectors response, an improvement can be gained by using some of the techniques from suprathreshold stochastic resonance.

Citation Download Citation

Gregory P. Harmer and Derek Abbott "Smart sensor motion detection schemes in a noisy environment", Proc. SPIE 4236, Smart Electronics and MEMS II, (16 March 2001); https://doi.org/10.1117/12.418770

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