Translucent-static TV logo recognition by SUSAN corner extracting and matching

Author

Da Ku ; Jianghua Cheng ; Gui Gao

Author_Institution

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

fYear

2013

fDate

29-31 Aug. 2013

Firstpage

44

Lastpage

48

Abstract

TV logo is widely used in copyright protection, video surveillance, etc. Traditionally, TV logo is detected and recognized by pixel-wise template matching, which neither deals well with translucent-static TV logos, nor addresses the scaling problem well. This paper proposes a novel TV logo recognition algorithm, which is composed of three steps. Firstly, the real time TV logo region is detected by multiple frame accumulation. Then, the Smallest Univalue Segment Assimilating Nucleus (SUSAN) algorithm is presented to extract corners within the detected logo regions. Finally, corner matching is carried out to recognize the type of the test TV logo. The proposed method is validated by several TV channels in China. The results indicate that the method is effective to detect and identify the translucent-static TV logos, and are invariant to image scaling.

Keywords

edge detection; feature extraction; image matching; image segmentation; object detection; television broadcasting; China; SUSAN algorithm; SUSAN corner extraction; SUSAN corner matching; TV broadcast; TV channels; copyright protection; image scaling; multiple frame accumulation; pixel-wise template matching; real time TV logo region detection; smallest univalue segment assimilating nucleus; translucent-static TV logo recognition; video surveillance; Educational institutions; Feature extraction; Image recognition; Real-time systems; Robustness; Streaming media; TV; Otsu; SUSAN; TV logo recognition; corner detecting; corner matching;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing Technology (INTECH), 2013 Third International Conference on

Conference_Location

London

Print_ISBN

978-1-4799-0047-3

Type

conf

DOI

10.1109/INTECH.2013.6653685

Filename

6653685