In this paper, an approximate Gaussian state estimator is developed based on generalised polynomial chaos expansion for target tracking applications. Motivated by the fact that calculating conditional moments in filter involves computing integrals with respect to density, authors non-linear dynamics using expansion. Second-order as well third-order expansions were used filtering, derive necessa...

Abstract Long-term visual tracking undergoes more challenges and is closer to realistic applications than short-term tracking. However, the performances of most existing methods have been limited in long-term tasks. In this work, we present a reliable yet simple method, which extends state-of-the-art learning adaptive discriminative correlation filters (LADCF) algorithm with re-detection compon...