Asynchronous event‐based high speed vision for microparticle tracking |
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Authors: | Z NI C PACORET R BENOSMAN S IENG S RéGNIER |
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Affiliation: | Institut des Systèmes Intelligents et de Robotique, UPMC, CNRS UMR‐7222, 4 place Jussieu, CC 173, 75252 Paris cedex 05, France. |
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Abstract: | 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. |
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Keywords: | Address‐event representation (AER) Brownian motion high speed vision Hough transform microrobotics particle tracking |
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