This study introduces a new dataset and pipeline for tracking cyclists to address the increasing number of cycling accidents. Our evaluation reveals that cameras with a direct side view of cyclists perform best in detection and tracking. Future research can explore combining object detection from multiple cameras for improved predictions. This work contributes to the development of surveillance systems for cyclist safety.
