Application of Matlab in Moving Object Detecting Algorithm

Author

Chen, Xiao

Author_Institution

Dept. of Electron. Inf. Eng., Nanjing Univ. of Inf. Sci. & Technol., Nanjing

fYear

2008

fDate

18-18 Dec. 2008

Firstpage

114

Lastpage

117

Abstract

Moving object detecting is one of the current research hotspots and is widely used in fields such as computer vision and video processing. The study on image processing toolkit using computer language Matlab was conducted to perform moving object detecting technical processing on video images. First, video pre-processing steps such as frame separation, binary operation, gray enhancement and filter operation were conducted. Then the detection and extraction of moving object was carried out on images according to frame difference-based dynamic-background refreshing algorithm. Finally, the desired video image was synthesized through adding image casing on the moving objects in the video. The results showed that using computer language Matlab to perform moving object detecting algorithm has favorable effects.

Keywords

computer vision; filtering theory; image enhancement; image motion analysis; mathematics computing; object detection; video signal processing; Matlab; binary operation; computer vision; filter operation; frame difference-based dynamic background refreshing algorithm; frame separation; gray enhancement; image processing; moving object detection algorithm; moving object extraction; video processing; Application software; Biomedical engineering; Computer languages; Image motion analysis; Image processing; Object detection; Optical filters; Optical sensors; Video compression; Video sequences; Matlab; adjacent frame difference; biomedical Engineering; image processing; moving object detecting;

fLanguage

English

Publisher

ieee

Conference_Titel

Future BioMedical Information Engineering, 2008. FBIE '08. International Seminar on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3561-6

Type

conf

DOI

10.1109/FBIE.2008.108

Filename

5076698