  The search for minor bodies in the solar system promises insights into its
formation history. Wide imaging surveys offer the opportunity to
serendipitously discover and identify these traces of planetary formation and
evolution. We aim to present a method to acquire position, photometry, and
proper motion measurements of solar system objects in surveys using dithered
image sequences. The application of this method on the Kilo-Degree Survey is
demonstrated. Optical images of 346 square degree fields of the sky are
searched in up to four filters using the AstrOmatic software suite to reduce
the pixel to catalog data. The solar system objects within the acquired sources
are selected based on a set of criteria depending on their number of
observation, motion, and size. The Virtual Observatory SkyBoT tool is used to
identify known objects. We observed 20,221 SSO candidates, with an estimated
false-positive content of less than 0.05%. Of these SSO candidates, 53.4% are
identified by SkyBoT. KiDS can detect previously unknown SSOs because of its
depth and coverage at high ecliptic latitude, including parts of the Southern
Hemisphere. Thus we expect the large fraction of the 46.6% of unidentified
objects to be truly new SSOs. Our method is applicable to a variety of dithered
surveys such as DES, LSST, and Euclid. It offers a quick and easy-to-implement
search for solar system objects. SkyBoT can then be used to estimate the
completeness of the recovered sample.
