Title :
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
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;
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
Conference_Location :
Halifax, NS
Print_ISBN :
978-1-4799-5827-6
DOI :
10.1109/CCECE.2015.7129171
