Asynchronous event‐based high speed vision for microparticle tracking

Ziqian Ni, Cécile Pacoret, Ryad Benosman, Sio-Hoï Ieng

Journal of Microscopy · 2011 · 112 citations · 22 references

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Concepts

TL;DR

The study introduces a high‑speed vision system based on an asynchronous address‑event representation camera. The system employs an asynchronous event‑based real‑time Hough circle transform to track microspheres with the address‑event camera. It achieves robust real‑time multi‑object detection at several kHz with low computational cost, accurately tracks Brownian motion, and supports fast vision feedback for microrobotic systems and micro‑scale force measurements.

Abstract

Summary This paper presents a new high speed vision system using an asynchronous address‐event representation camera. Within this framework, an asynchronous event‐based real‐time Hough circle transform is developed to track microspheres. The technology presented in this paper allows for a robust real‐time event‐based multiobject position detection at a frequency of several kHz with a low computational cost. Brownian motion is also detected within this context with both high speed and precision. The carried‐out work is adapted to the automated or remote‐operated microrobotic systems fulfilling their need of an extremely fast vision feedback. It is also a very promising solution to the micro physical phenomena analysis and particularly for the micro/nanoscale force measurement.

References

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