Visual tracking based on flower pollination algorithm

摘要

Flower pollination algorithm (FPA) is a new meta-heuristic optimization algorithm that mimics the real life processes of the flower pollination. In this study, visual tracking is regard as a process of optimal reproduction of flowering plants. An FPA-based tracking architecture is proposed and its tracking accuracy and speed are compared with particle filter and mean shift. Comparative results indicate that the other two trackers.