  Visual multi-object tracking has the potential to accelerate many forms of
quantitative analyses, especially in research communities investigating the
motion, behavior, or social interactions within groups of animals. Despite its
potential for increasing analysis throughput, complications related to
accessibility, adaptability, accuracy, or scalable application arise with
existing tracking systems. Several iterations of prototyping and testing have
led us to a multi-object tracking system -- ABCTracker -- that is: accessible
in both system as well as technical knowledge requirements, easily adaptable to
new videos, and capable of producing accurate tracking data through a mixture
of automatic and semi-automatic tracking features.
