Real-Time Video Intelligent Surveillance System

Crowd behaviour analysis and management have become a significant research problem for the last few years because of the substantial growth in the world population and their security requirements. There are numerous unsolved problems like crowd flow modelling and crowd behaviour detection, which are still open in this area, seeking great attention from the research community. Crowd flow modelling is one of such problems, and it is also an integral part of an intelligent surveillance system. Modelling of crowd flow has now become a vital concern in the development of intelligent surveillance systems. Real-time analysis of crowd behavior needs accurate models that represent crowded scenarios. An intelligent surveillance system supporting a good crowd flow model will help identify the risks in a wide range of emergencies and facilitate human safety. Mathematical models of crowd flow developed from real-time video sequences enable further analysis and decision making. A novel method identifying eight possible crowd flow behaviours commonly seen in the crowd video sequences is explained in this paper. The proposed method uses crowd flow localisation using the Gunnar-Farneback optical flow method. The Jacobian and Hessian matrix analysis along with corresponding eigenvalues helps to find stability points identifying the flow patterns. This work is carried out on 80 videos taken from UCF crowd and CUHK video datasets. Comparison with existing works from the literature proves our method yields better results.

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Simplified multiple object tracking model for real-time intelligent surveillance system

2013 10th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology ◽

10.1109/ecticon.2013.6559566 ◽

2013 ◽

Author(s):

Woong-Jae Won ◽

Man-Won Hawng ◽

Yong-Seok Kim ◽

Dong-Uk Kim

Keyword(s):

Object Tracking ◽

Real Time ◽

Surveillance System ◽

Multiple Object Tracking ◽

Intelligent Surveillance ◽

Multiple Object ◽

Tracking Model

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Real Time Video Black Box in Air Craft for an Intelligent Surveillance System

Indian Journal of Science and Technology ◽

10.17485/ijst/2015/v8i10/51141 ◽

2015 ◽

Vol 8 (10) ◽

pp. 919

Author(s):

Sasikala Guruswamy ◽

K. Siddappanaidu

Keyword(s):

Real Time ◽

Surveillance System ◽

Black Box ◽

Intelligent Surveillance

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Situational Strategic Awareness Monitoring Surveillance System–Microcomputer and Microcomputer Clustering used for Intelligent, Economical, Scalable, and Deployable Approach for Safeguarding Materials

Electronic Imaging ◽

10.2352/issn.2470-1173.2020.3.mobmu-336 ◽

2020 ◽

Vol 2020 (3) ◽

pp. 60408-1-60408-10

Author(s):

Kenly Maldonado ◽

Steve Simske

Keyword(s):

Surveillance System ◽

Cost Effective ◽

Government Agencies ◽

Electronic Systems ◽

Time Data ◽

Potential Threat ◽

Intelligent Surveillance ◽

World Markets ◽

Programming Software ◽

And Control

The principal objective of this research is to create a system that is quickly deployable, scalable, adaptable, and intelligent and provides cost-effective surveillance, both locally and globally. The intelligent surveillance system should be capable of rapid implementation to track (monitor) sensitive materials, i.e., radioactive or weapons stockpiles and person(s) within rooms, buildings, and/or areas in order to predict potential incidents proactively (versus reactively) through intelligence, locally and globally. The system will incorporate a combination of electronic systems that include commercial and modifiable off-the-shelf microcomputers to create a microcomputer cluster which acts as a mini supercomputer which leverages real-time data feed if a potential threat is present. Through programming, software, and intelligence (artificial intelligence, machine learning, and neural networks), the system should be capable of monitoring, tracking, and warning (communicating) the system observer operations (command and control) within a few minutes when sensitive materials are at potential risk for loss. The potential customer is government agencies looking to control sensitive materials and/or items in developing world markets intelligently, economically, and quickly.

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