Asynchronous event-based high speed vision for microparticle tracking

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.