Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-60624
Drazen, D; Lichtsteiner, P; Hafliger, P; Delbruck, T; Jensen, A (2011). Toward real-time particle tracking using an event-based dynamic vision sensor. Experiments in Fluids, 51(5):1465-1469.
| Accepted Version 3647Kb |
Abstract
Optically based measurements in high Reynolds number fluid flows often require high-speed imaging techniques. These cameras typically record data internally and thus are limited by the amount of onboard memory available. A novel camera technology for use in particle tracking velocimetry is presented in this paper. This technology consists of a dynamic vision sensor in which pixels operate in parallel, transmitting asynchronous events only when relative changes in intensity of approximately 10% are encountered with a temporal resolution of 1 mu s. This results in a recording system whose data storage and bandwidth requirements are about 100 times smaller than a typical high-speed image sensor. Post-processing times of data collected from this sensor also increase to about 10 times faster than real time. We present a proof-of-concept study comparing this novel sensor with a high-speed CMOS camera capable of recording up to 2,000 fps at 1,024 x 1,024 pixels. Comparisons are made in the ability of each system to track dense (rho >1 g/cm(3)) particles in a solid-liquid two-phase pipe flow. Reynolds numbers based on the bulk velocity and pipe diameter up to 100,000 are investigated.
| Item Type: | Journal Article, refereed, original work |
|---|---|
| Communities & Collections: | 07 Faculty of Science > Institute of Neuroinformatics |
| DDC: | 570 Life sciences; biology |
| Language: | English |
| Date: | 01 November 2011 |
| Deposited On: | 05 Mar 2012 13:00 |
| Last Modified: | 18 Oct 2012 07:55 |
| Publisher: | Springer |
| ISSN: | 0723-4864 |
| Additional Information: | The original publication is available at www.springerlink.com |
| Publisher DOI: | 10.1007/s00348-011-1207-y |
| WoS Citation Count: | 1 |
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