Performance Evaluation of a Real Time Video Surveillance System

2006 ◽  
Author(s):  
S. Muller-Schneiders ◽  
T. Jager ◽  
H.S. Loos ◽  
W. Niem ◽  
R. Bosch
Keyword(s):  
Performance Evaluation ◽  
Real Time ◽  
Video Surveillance ◽  
Surveillance System ◽  
Video Surveillance System

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

An Intelligent Video Surveillance System for Android Smart Phone

2013 ◽  
Vol 850-851 ◽  
pp. 884-888 ◽  
Author(s):  
Gang Yang ◽  
Xin Tan ◽  
Yong Rui Zhang
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Surveillance System ◽  
Smart Phone ◽  
Image Data ◽  
Gaussian Mixture ◽  
Moving Object ◽  
Video Surveillance System ◽  
Surveillance Systems ◽  
Surveillance Technology

Video surveillance technology is playing an important role, and it is widely used in some fields. With the popularity of Android OS, it draws researchers attention to increase the development of video surveillance systems on the platform. This paper presents a smart real-time video surveillance system based on Android smart phone. This system detects moving object by using improved GMM (Gaussian Mixture Mode) algorithm, recognizes invading human with cascade classifier, processes image data with coder & decoder, transmits data over RTP (Real-time Transport Protocol). It also applies some methods to improve the accuracy of moving object detection and recognition, speed up recognition process. The experimental evidences show that it can realize real-time video surveillance and smart alarm.

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