Target recognition algorithm based on block and SIFT features

Author

Zhang Weiguo ; Wang Liqing

Author_Institution

Coll. of Comput. Sci. & Technol., Xi´an Univ. of Sci. & Technol., Xi´an, China

fYear

2013

fDate

5-8 Aug. 2013

Firstpage

1

Lastpage

5

Abstract

Based on the complementariness of SIFT features and block features in the region where color changes with different intensity, an target recognition algorithm combining block and SIFT features is proposed. Firstly, the foreground target of image is extracted and then eroded to simplify the target color characteristics. Secondly, SIFT features and block features are extracted. Moreover, the block features in SIFT feature area are removed. Finally, the target features described by block features and SIFT features are stored in library and the template is updated in real time. We tested the new algorithm in a self-recorded video for target identification. The experiment showed that the combined algorithm improved the recognition rate compared with SIFT feature or block target recognition algorithm.

Keywords

feature extraction; image colour analysis; image recognition; object recognition; transforms; SIFT feature; block feature; image extraction; scale invariant feature transform; self-recorded video; target color characteristics; target identification; target recognition algorithm; Algorithm design and analysis; Feature extraction; Image color analysis; Image recognition; Libraries; Target recognition; Target tracking; SIFT feature; block feature; erosion operation; target library; target recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on

Conference_Location

KunMing

Type

conf

DOI

10.1109/ICSPCC.2013.6663966

Filename

6663966