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Published September 2000 | Published
Journal Article Open

A Robust Analog VLSI Reichardt Motion Sensor

Abstract

Silicon imagers with integrated motion-detection circuitry have been developed and tested for the past 15 years. Many previous circuits estimate motion by identifying and tracking spatial or temporal features. These approaches are prone to failure at low SNR conditions, where feature detection becomes unreliable. An alternate approach to motion detection is an intensity-based spatiotemporal correlation algorithm, such as the one proposed by Hassenstein and Reichardt in 1956 to explain aspects of insect vision. We implemented a Reichardt motion sensor with integrated photodetectors in a standard CMOS process. Our circuit operates at sub-microwatt power levels, the lowest reported for any motion sensor. We measure the effects of device mismatch on these parallel, analog circuits to show they are suitable for constructing 2-D VLSI arrays. Traditional correlation-based sensors suffer from strong contrast dependence. We introduce a circuit architecture that lessens this dependence. We also demonstrate robust performance of our sensor to complex stimuli in the presence of spatial and temporal noise.

Additional Information

Received June 10, 1999; Revised February 14, 2000. Cover Date: 2000-09-01 c2000 Kluwer Academic Publishers The authors would like to thank Alexander Borst, Martin Egelhaaf, Charles Higgins, Laurent Itti, Brad Minch, Rahul Sarpeshkar, and M.V. Srinivasan for valuable discussions. We also thank Oliver Landolt and Alberto Pesavento for useful comments on the manuscript. This work was supported by the Center for Neuromorphic Engineering at Caltech as a part of NSF's Engineering Research Center program, and by ONR.

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September 26, 2023
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