Timing as well as precision are very important aspects here in competitive swimming. Another objective difficulty is to accurately track multiple swimmers in the race and to identify them and their performance without fail at human discretion. Conventional approaches are slow and inaccurate, particularly if several swimmers are compared at the same time. Specifically, the presented scenario implies the need for an advanced computer vision system that enables the tracking of swimmers in real-time, identification of a winner, and a swimmer’s time without being affected by interference such as a person standing or sitting next to the water. This criterion was important because the system has to provide accurate and timely decision-supporting information for performance assessment.