The design and implementation of a networked real-time video surveillance system based on FPGA

2008 ◽  
Author(s):  
Weijun Zhang ◽  
Yujie Dun ◽  
Weixiang Shi
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Surveillance System ◽  
Video Surveillance System ◽  
Design And Implementation

A Design and Implementation of Video Monitoring System at Smart Home

2014 ◽  
Vol 568-570 ◽  
pp. 1162-1167 ◽  
Author(s):  
Heng Xu ◽  
Cheng Hua Fu ◽  
Yun Jin Yang
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Video Surveillance ◽  
Surveillance System ◽  
Smart Home ◽  
Video Stream ◽  
Video Monitoring ◽  
Video Surveillance System ◽  
Infrared Sensor ◽  
Design And Implementation

The traditional real-time video surveillance system at smart home tends to occupy a lot of resource .In order to solve this kind of problem, a design of an infrared sensor to trigger video monitoring system is proposed in this paper .The system uses arm9-Linux as the platform ,and infrared sensor as the trigger device and uses the mpeg-4 algorithm to encode the video stream finally .The article mainly introduces how to build the hardware and software platform and tests the feasibility of the system.

The Design and Implementation of Moving Object Detecting Algorithm in Intelligent Video Surveillance

2015 ◽  
Vol 738-739 ◽  
pp. 779-783
Author(s):  
Jin Hua Sun ◽  
Cui Hua Tian
Keyword(s):  
Video Surveillance ◽  
Background Subtraction ◽  
Surveillance System ◽  
Image Sequence ◽  
Background Modeling ◽  
Moving Object ◽  
Video Surveillance System ◽  
Surveillance Video ◽  
Subtraction Method ◽  
Design And Implementation

In view of the problems existed in moving object detection in video surveillance system, background subtraction method is adopted and combined with Surendra algorithm for background modeling, an algorithm of detecting moving object from video is proposed, and OpenCV programming is adopted in Visual c ++ 6.0 for implementation. Experimental results indicate that the algorithm can accurately detect and identify moving object in video by reading the image sequence of surveillance video, the validity of the algorithm is verified.

scholarly journals Expert video-surveillance system for real-time detection of suspicious behaviors in shopping malls

2015 ◽  
Vol 42 (21) ◽  
pp. 7991-8005 ◽  
Author(s):  
Roberto Arroyo ◽  
J. Javier Yebes ◽  
Luis M. Bergasa ◽  
Iván G. Daza ◽  
Javier Almazán
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Surveillance System ◽  
Video Surveillance System ◽  
Shopping Malls ◽  
Real Time Detection
Sign in / Sign up

Export Citation Format

Share Document