Sunshine-Change-Tolerant Moving Object Masking for Realizing both Privacy Protection and Video Surveillance

An object tracking increases loads of enthusiasm for dynamic research in applications such as video surveillance, vehicle navigation, highways, crowded public places, borders, forest and traffic monitoring areas. The system we develop aims to measure and analyze the application of background subtraction method and block matching algorithm to trace object movements through video-based. The making of video surveillance systems “smart” requires fast, reliable and robust algorithms for moving object detection and tracking. This research applies background subtraction method to detect moving object, assisted with block matching algorithm which aims to get good results on objects that have been detected. Performance evaluation is carried out to determine the various parameters. In this paper author design and develop a novel algorithm for moving object tracking in video surveillance also compares and analyse existing algorithms for moving object tracking. Author main aim to design and develop an algorithm for moving object tracking to handle occlusion and complex object shapes.

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Privacy pragmatism and streetscape video surveillance in Canada

International Sociology ◽

10.1177/0268580910394007 ◽

2011 ◽

Vol 26 (6) ◽

pp. 844-861 ◽

Cited By ~ 14

Author(s):

Sean P Hier ◽

Kevin Walby

Keyword(s):

Video Surveillance ◽

Privacy Protection ◽

Best Practice ◽

Empirical Investigation ◽

Policy Diffusion ◽

Policy Framework ◽

International Literature ◽

Policy Context ◽

Public Area

This article contributes to international debates about public-area streetscape video surveillance by assessing the Canadian policy context. Based on findings from an ongoing empirical investigation, the authors argue that Canada’s pragmatic policy framework enables surveillance advocates and adversaries to selectively endorse privacy protection principles institutionalized in best practice protocols. The authors explain their findings in relation to the international literature on video surveillance policy diffusion and privacy.

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An efficient privacy protection scheme for data security in video surveillance

Journal of Visual Communication and Image Representation ◽

10.1016/j.jvcir.2019.01.027 ◽

2019 ◽

Vol 59 ◽

pp. 347-362 ◽

Cited By ~ 8

Author(s):

Ling Du ◽

Wei Zhang ◽

Huazhu Fu ◽

Wenqi Ren ◽

Xinpeng Zhang

Keyword(s):

Video Surveillance ◽

Data Security ◽

Privacy Protection ◽

Protection Scheme

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

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.738-739.779 ◽

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.

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