  Context. During the post-perihelion phase of the European Space Agency's
Rosetta mission to comet 67P, the Optical, Spectroscopic, and Infrared Remote
Imaging System on board the spacecraft took numerous image sequences of the
near-nucleus coma, with many showing the motion of individual pieces of debris
ejected from active surface areas into space.
  Aims. We aim to track the motion of individual particles in these image
sequences and derive their projected velocities and accelerations. This should
help us to constrain their point of origin on the surface, understand the
forces that influence their dynamics in the inner coma, and predict whether
they will fall back to the surface or escape to interplanetary space.
  Methods. We have developed an algorithm that tracks the motion of particles
appearing as point sources in image sequences. Our algorithm employs a point
source detection software to locate the particles and then exploits the image
sequences' pair-nature to reconstruct the particle tracks and derive the
projected velocities and accelerations. We also constrained the particle size
from their brightness.
  Results. Our algorithm identified 2268 tracks in a sample image sequence.
Manual inspection not only found that 1187 (~52%) of them are likely genuine,
but in combination with runs on simulated data it also revealed a simple
criterion related to the completeness of a track to single out a large subset
of the genuine tracks without the need for manual intervention. A tentative
analysis of a small (n = 89) group of particles exemplifies how our data can be
used, and provides first results on the particles' velocity, acceleration, and
radius distributions, which agree with previous work.
