Enhancement of Gaussian background modelling algorithm for moving object detection & its implementation on FPGA

Author

Ge Guo ; Kaye, Mary E. ; Yun Zhang

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of New Brunswick, Fredericton, NB, Canada

fYear

2015

fDate

3-6 May 2015

Firstpage

118

Lastpage

122

Abstract

Gaussian background modelling algorithm is a classic algorithm used for moving object detection in video. This work proposes a technique to enhance the Gaussian background modelling algorithm in order to improve the moving object detection result. Since the potential application scenario requires real-time video processing, a circuit to implement the algorithm is designed on a Xilinx FPGA. The proposed design is of pipeline structure. Experimentation shows that it can perform real-time moving object detection in a live video of 1280×720p@30fps.

Keywords

Gaussian processes; field programmable gate arrays; object detection; video signal processing; Gaussian background modelling algorithm; Xilinx FPGA; moving object detection; pipeline structure; real-time video processing; Algorithm design and analysis; Field programmable gate arrays; Integrated circuit modeling; Object detection; Real-time systems; Streaming media; Time series analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on

Conference_Location

Halifax, NS

ISSN

0840-7789

Print_ISBN

978-1-4799-5827-6

Type

conf

DOI

10.1109/CCECE.2015.7129171

Filename

7129171