Читать книгу Handbook of Intelligent Computing and Optimization for Sustainable Development - Группа авторов - Страница 83

A person detected by the Mask R-CNN [9] in Stage 1 is tracked by leveraging the Centroid-based tracking algorithm proposed by Nascimento et al. [20]. This algorithm tracks the identified persons by measuring the Euclidean distance between the centroids of people detected over successive frames. It works based on the presumption that even though an object will move between the resulting frames of a recording, the distance between the centroid of the same object between two consecutive frames will be less than the distance to the centroid of some other object identified in the given frames.

This step enables us to track and associate every person detected in the recording with a unique tracking ID across numerous frames.