This study introduces an innovative muon tracking algorithm designed for the Coherent Neutrino-Nucleus Interaction Experiment (CONNIE). In this experiment, a cluster of twelve charge-coupled device (CCD) sensors is strategically positioned in close proximity to the Angra II nuclear reactor. The primary objective of the experiment is the detection of antineutrinos produced by the reactor, serving as a gateway to investigating non-standard neutrino interactions through Coherent Neutrino-Nucleus Scattering (CEvNS). However, the images acquired by these sensors reveal an abundance of muonic particles, originating from the collision of cosmic rays with the Earth's atmosphere. This study is fundamentally focused on the advancement of a muon tracking system that will allow to trace the trajectories of the muons or any other particle with high energy. The Geant4 toolkit has been used to create synthetic images that will be used to validate the algorithm, that will be use in the analysis of images collected by the CCDs of the experiment. In this work, we evaluated the algorithm's performance using synthetic images, achieving an efficiency of 98.78\%. This result underscores the algorithm's robustness and reliability in reconstructing muon trajectories.