A New Kind of Background Retrieval and Renewed Algorithm Based on Parameter

Author

Sang Haifeng ; Chen Zhong

Author_Institution

Inf. Sci. & Eng. Sch., Univ. of Technol., Shenyang, China

fYear

2013

fDate

1-3 Nov. 2013

Firstpage

66

Lastpage

69

Abstract

In this essay static background retrieving method is introduced. A new kind of background retrieving & renewing method is proposed based on their limits. By introducing new parameter background weights and their variances each frame will be separately compared with each previous frame and the current background, then the background weights will be adjusted according to their variances so as to gain accumulation or renewal of background. This method is advantageous for its rationale simplicity, calculation easiness and quick renewal, besides, which is made compatible by parameter adjusting with kinds of background retrieval on variant conditions.

Keywords

image retrieval; background retrieval; parameter background weights; renewed algorithm; static background retrieving method; Adaptive optics; Computer vision; Data mining; Image motion analysis; Integrated optics; Optical imaging; Optical sensors; background weights; parameter adjusting; renewal; retrieving;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Networks and Intelligent Systems (ICINIS), 2013 6th International Conference on

Conference_Location

Shenyang

Print_ISBN

978-1-4799-2808-8

Type

conf

DOI

10.1109/ICINIS.2013.24

Filename

6754673