A fuzzy-computing method for rotation-invariant image tracking

Author

Wang, Wen-Hao ; Lie, Wen-Nung ; Chen, Yung-Chang

Author_Institution

Inst. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan

Volume

1

fYear

1994

fDate

13-16 Nov 1994

Firstpage

540

Abstract

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

Keywords

correlation methods; feature extraction; fuzzy control; fuzzy logic; harmonic analysis; image recognition; image sequences; matched filters; target tracking; tracking filters; circular harmonic; correlation methods; dual-template strategy; fuzzy tracking system; fuzzy-computing method; invariant-feature extraction; moving target tracking; parallel matched filters; real-time operation; rotation-invariant image tracking; simple fuzzy logic; Computer vision; Costs; Fuzzy logic; Fuzzy systems; Image sequences; Matched filters; Mathematical model; Military computing; Power harmonic filters; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413372

Filename

413372