IP Video Surveillance System

2014 ◽  
pp. 264-289
Keyword(s):  
Image Quality ◽  
Video Surveillance ◽  
Motion Detection ◽  
Surveillance System ◽  
Video Surveillance System ◽  
Light Sources ◽  
Hard Drives ◽  
Set Up ◽  
Definition Of ◽  
Network Camera

The chapter is a summary of IP surveillance systems: basic functions, the advantages of network video, customizing surveillance applications, and possible legal concerns. The most important step one can take before installing IP surveillance system is to define goals and requirements. Once these are determined, the video system can be set up. The required goals to be determined are the following: definition of the video surveillance system needs (installation plan, area of coverage, camera positioning, illumination conditions determination, camera cabling, the recording server positioning), network camera and/or video encoder selection (image quality, lens selection, network camera selection, Power over Ethernet [PoE], video motion detection, audio, accessories selection, testing), hardware (switches, additional light sources, power supplies, additional server for video management software, hard drives), software (software package selection, licenses, image quality and frame rate requirements, IP address range calculation, hard disk usage calculation, camera configuration, video motion detection settings, user access definition), and maintenance.

Based on Computer Substation Monitoring Controlled Video System

2012 ◽  
Vol 203 ◽  
pp. 171-174
Author(s):  
Xue Feng Ding
Keyword(s):  
Video Surveillance ◽  
Remote Monitoring ◽  
Surveillance System ◽  
Video Monitoring ◽  
Video Surveillance System ◽  
Surveillance Systems ◽  
Work Process ◽  
Remote Monitoring System ◽  
Data Source ◽  
Set Up

In order to remote video surveillance is a necessary means of Substation, this describes the composition of remote video surveillance system, video surveillance systems, transmission systems, substation remote video surveillance and the linkage of the work process of the alarm, the unmanned subhastation should have the functionality and remote video monitoring of communication conditions. The remote monitoring system for data signals as the data source through the computer to control the substation video surveillance system, the substation as a conference at the venue, set up the meeting subsystem, a wider range of monitoring of the substation.

scholarly journals Sensitivity of a Video Surveillance System Based on Motion Detection

2018 ◽  
Author(s):  
Alessandro Massaro ◽  
Valeria Vitti ◽  
Giuseppe Maurantonio ◽  
Angelo Galiano
Keyword(s):  
Video Surveillance ◽  
Motion Detection ◽  
Surveillance System ◽  
Video Surveillance System

scholarly journals Sensitivity of a Video Surveillance System Based on Motion Detection

2018 ◽  
Vol 9 (3) ◽  
pp. 01-21 ◽  
Author(s):  
Alessandro Massaro ◽  
Valeria Vitti ◽  
Giuseppe Maurantonio ◽  
Angelo Galiano
Keyword(s):  
Video Surveillance ◽  
Motion Detection ◽  
Surveillance System ◽  
Video Surveillance System

Algorithm of Spatio-Temporal Combining Video Denoising Based on Structural Similarity

2013 ◽  
Vol 333-335 ◽  
pp. 845-848
Author(s):  
Hong Wei Di ◽  
Cheng Cheng Huang ◽  
Hui Gao
Keyword(s):  
Image Quality ◽  
Motion Detection ◽  
Surveillance System ◽  
Weighted Average ◽  
Computation Time ◽  
Structural Similarity ◽  
Video Surveillance System ◽  
Video Denoising ◽  
Spatio Temporal ◽  
Average Filter

An algorithm of spatio-temporal combining video denoising based on structural similarity is proposed for the video surveillance system. By motion detection to multi-frame images with block structural similarity, this algorithm can adaptively distinguish the still regions and motion regions of video image. Temporal weighted average filter to the still regions and spatial ANL filter to the motion regions are used separately. Experimental results show that the proposed algorithm can improve the image quality and greatly reuduce the computation time.

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