Target Recognition by Fusing Images of Dual-Band Infrared Cameras

Author

Wu, Qiongyu ; Peng, Chunyan ; Wang, Chengyou ; Liu, Yunhui ; Cai, Xuanping

Author_Institution

Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha

fYear

2006

fDate

25-28 June 2006

Firstpage

1221

Lastpage

1226

Abstract

The paper presents a new algorithm for target recognition by fusing images of dual-band infrared cameras. The algorithm extracts a collection of features, which are invariable in translation, rotation and expansion, using the 2-D Fourier wavelet descriptor. The target is first recognized in each band of the images using the extracted features and then the recognition is refined by fusing the results and reliability of the bands using the D-S evidence theory. Experimental results show that the 2-D Fourier wavelet descriptor is robust in extracting invariants and the fusion algorithm proposed can improve the recognition rate from 82% to 97%

Keywords

Fourier transforms; feature extraction; inference mechanisms; infrared imaging; object recognition; wavelet transforms; 2D Fourier wavelet descriptor; D-S evidence theory; dual-band infrared cameras; feature extraction; fusing images; target recognition; Cameras; Dual band; Feature extraction; Image recognition; Infrared imaging; Infrared surveillance; Noise robustness; Noise shaping; Shape; Target recognition; D-S Evidence Theory; Dual-Band Infrared Camera; Target Recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on

Conference_Location

Luoyang, Henan

Print_ISBN

1-4244-0465-7

Electronic_ISBN

1-4244-0466-5

Type

conf

DOI

10.1109/ICMA.2006.257800

Filename

4026260