Following the path of a zooplankton
In collaboration with the Mathematics group at LTH, the Nano Biology Lab developed a novel framework for calibration and positioning in a scene viewed by four cameras through a refractive surface (air-water interface) and multiple flat reflective walls. This allows them to track individually marked zooplankton (1-2 mm in length) freely swimming in a 30 L aquarium. Data on individual behaviour is collected in a database and analysed in our customized tracking system revealing individual tracks, including speed, distance moved, and much more.
The paper "Calibration, positioning and tracking in a refractive and reflective scene" describing the method was presented at the 23rd International Conference on Pattern Recognition (ICPR) in Mexico (Dec 2016) and is now available online at: http://ieeexplore.ieee.org/document/7900228/
For a quick glance of what the animation look like, visit the CAnMove YouTube-Channel
Figure (a—b) Side and top view of the computer vision system composed by four cameras arranged as vertical stacked stereo-pairs that overlook the entire aquarium from the side. (c—d) LEDs array used to excite the fluorescent quantum dots and simulate UVR threat. Eight blue LEDs (465 nm) are disposed around a liquid-cooled plate and filtered with a band pass filter to eliminate spurious wavelengths. The UV LED (380 nm) is positioned in the middle of the plate.