2P2-B18 2D tracking of single micro-organism based on parallel level set method with intensity constraint

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We propose a 2D microorganism tracking system using parallel level set method (LSM) and column parallel vision system (CPV). The proposed new energy function of LSM constrains the amount of light intensity inside detected object contours to control the number of detected objects. This algorithm is implemented in CPV system and computational time for each frame is 2 [ms], ap- proximately. Based on the single target detection and automated stage PD controlling, the single microorganism is tracked to be in the middle of visual field under a microscope. We demonstrated a tracking experiment for about 37 s which shows that a single paramecium can be kept tracking even if other paramecia appear in the visual field and contact with tracked paramecium.

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