A fuzzy-computing method for rotation-invariant image tracking
Wenhao Wang, Wen‐Nung Lie, Yung‐Chang Chen · 2002
A fuzzy tracking system is developed for rotation-invariant image tracking. The conventional rotation-invariant methods cost too much time on transformation for invariant-feature extraction (e.g., circular harmonic). They am not suitable for the implementation of real-time operation. In this paper, a dual-template strategy is proposed. Only two parallel matched filters and a simple fuzzy logic are employed to construct the novel fuzzy tracking system. The experiments show that the system can track the target more accurately and more rapidly.>