Title
Memory Efficient VLSI Implementation of Real-Time Motion Detection System Using FPGA Platform.
Abstract
Motion detection is the heart of a potentially complex automated video surveillance system, intended to be used as a standalone system. Therefore, in addition to being accurate and robust, a successful motion detection technique must also be economical in the use of computational resources on selected FPGA development platform. This is because many other complex algorithms of an automated video surveillance system also run on the same platform. Keeping this key requirement as main focus, a memory efficient VLSI architecture for real-time motion detection and its implementation on FPGA platform is presented in this paper. This is accomplished by proposing a new memory efficient motion detection scheme and designing its VLSI architecture. The complete real-time motion detection system using the proposed memory efficient architecture along with proper input/output interfaces is implemented on Xilinx ML510 (Virtex-5 FX130T) FPGA development platform and is capable of operating at 154.55 MHz clock frequency. Memory requirement of the proposed architecture is reduced by 41% compared to the standard clustering based motion detection architecture. The new memory efficient system robustly and automatically detects motion in real-world scenarios (both for the static backgrounds and the pseudo-stationary backgrounds) in real-time for standard PAL (720 x 576) size color video.
Year
DOI
Venue
2017
10.3390/jimaging3020020
JOURNAL OF IMAGING
Keywords
Field
DocType
real-time motion detection,VLSI architecture,FPGA implementation,video surveillance system,smart camera system
Architecture,Motion detection,Computer science,Field-programmable gate array,Cluster analysis,Computer hardware,Very-large-scale integration,Clock rate,Vlsi architecture,Embedded system
Journal
Volume
Issue
Citations 
3
2
0
PageRank 
References 
Authors
0.34
17
4
Name
Order
Citations
PageRank
Singh, S.1176.95
A. S. Mandal211.39
Chandra Shekhar3199.71
Anil Vohra493.78