Tracking the swimming motion of C. elegans worms is of high interest for a variety of research projects on behavior
in biology, from aging to mating studies. We compare six different tracking methods, derived from two types
of image preprocessing, namely local and global thresholding methods, and from three types of segmentation
methods: low-level vision, and articulated models of either constant or varying width. All these methods have
been successfully used in recent related works, with some modifications to adapt them to swimming motions.
We show a quantitative comparison of these methods using computer-vision measures. To discuss their relative
strengths and weaknesses, we consider three scenarios of behavior studies, depending on the constraints of a
C. elegans project, and give suggestions as to which methods are more adapted to each case, and how to further