NDLI: Invariant feature extraction based on radial and distance function for automatic target recognition

Content Provider	IEEE Xplore Digital Library
Author	Sun-Gu Sun HyunWook Park
Copyright Year	2002
Description	Author affiliation: Dept. of Electr. Eng., Korea Adv. Energy Res. Inst., Daejeon, South Korea (Sun-Gu Sun; HyunWook Park)
Abstract	Proposes an invariant feature set for recognizing nonoccluded military vehicles in natural FLIR (forward-looking infrared) images. The proposed feature set is extracted from global and local shape information to improve recognition performance. After segmenting a target, a radial function is defined from a target boundary to extract global shape features. Also, to extract local shape features of upper region of a target, a distance function is defined, which designates distance between boundary points of upper region and a line drawn by two extreme points. From two functions and target boundary, four global and four local shape features are extracted. They are more invariant to similarity transform than traditional feature sets. In the experiments, we show that the proposed features are superior to the traditional feature sets with respect to invariance and recognition performance.
Sponsorship	IEEE Signal Process. Soc
File Size	229572
File Format	PDF
ISBN	0780376226
ISSN	15224880
DOI	10.1109/ICIP.2002.1038976
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Target recognition Image segmentation Vehicles Data mining Shape measurement Image recognition Infrared image sensors Sun Infrared imaging
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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