The paper considers a fundamental particle separation problem in microfluidic devices,e.g.,microchannels. It is expected that particles with different electric characteristics flow into the different microchannels to achieve the separation purpose. The movement of the particles inside the microchannels is recorded in video as data. The objective of the research is to obtain the trajectories of the particles, and eventually establish the relationship between the particles dynamic characteristics and their electric characteristics. This paper proposes a framework that consists of raw image segmentation and multiple target trackers(multiple hypothesis tracker or Gaussian mixture probability hypothesis density tracker) to obtain the tracks of the particles.
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