A Large Scale Video Surveillance System with Heterogeneous Information Fusion and Visualization for Wide Area Monitoring

Wang, Yuan-Kai; Fan, Ching-Tang; Huang, Cai-Ren

doi:10.1109/iih-msp.2012.49

Cited by 7 publications

(4 citation statements)

References 12 publications

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“…However, their system has several limitations including the lack of integration among different modules and the camera attitude and pose need to be calibrated one by one. Similarly, Wang et al 26 present a large scale system for integration of different intelligent video analytics in cooperative video surveillance. They also proposed a multi-tier visualization module to centralize and automate the detection process to increase its usability.…”

Section: Applications Of Video Fusionmentioning

confidence: 99%

Fusing surveillance videos and three‐dimensional scene: A mixed reality system

Cui

Khan

et al. 2022

Computer Animation & Virtual

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Augmented Virtual Environments (AVE) or Virtual-Reality Fusion systems fuse dynamic videos with static three-dimensional (3D) models of a virtual environment to provide an optimal solution for visualizing and understanding multichannel surveillance systems. However, texture distortion caused by viewpoint changes in such systems is a critical issue that needs to be addressed. To minimize texture fusion distortion, this paper presents a novel virtual environment system in two phases, offline and online phases, to dynamically fuse multiple surveillance videos with a virtual 3D scene. In the offline phase, a static virtual environment is obtained by performing a 3D photogrammetric reconstruction from the input images of the scene. In the online phase, the virtual environment is augmented by fusing multiple videos through two optional strategies. One strategy is to dynamically map images of different videos onto a 3D model of the virtual environment, and the other is to extract moving objects and represent them as billboards. The system can be used to visualize a 3D environment from any viewpoint augmented by real-time videos. Experiments and user studies in different scenarios demonstrate the superiority of our system.

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Section: Applications Of Video Fusionmentioning

confidence: 99%

Fusing surveillance videos and three‐dimensional scene: A mixed reality system

Cui

Khan

et al. 2022

Computer Animation & Virtual

View full text Add to dashboard Cite

show abstract

“…Large-scale area monitoring is a challenging engineering task due to the scale and heterogeneity among sensors, algorithms, and visualization levels [33]. Traditional surveillance systems use wired links to implement a centralized network, which implies fewer restrictions regarding storage and energy sources.…”

Section: Related Workmentioning

confidence: 99%

A Distributed Surveillance System With Full Coverage Guarantee Using Positive Orthogonal Codes

et al. 2021

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“…In [14], authors presented a distributed and scalable video surveillance system, subcontracted by intelligent surveillance components (ISCs) and visualization surveillance components (VSCs) in compliance with functional labors. The VSCs constitute a multitier subsystem to visualize fused results of messages, key frames, streaming videos, and geographic context information.…”

Section: International Journal Of Distributed Sensor Networkmentioning

confidence: 99%

“…Therefore, the reliability of a centralized server will be descended to the LVSS. There are works [8][9][10][11][12][13][14][15] that have been proposed for supporting a framework of VSS based on various technologies. Unfortunately, most of them do not solve mentioned issues to support large-scale VSS.…”

Section: Introductionmentioning

confidence: 99%

Implementation and Evaluation of Large-Scale Video Surveillance System Based on P2P Architecture and Cloud Computing

Chang

Sheu

et al. 2014

International Journal of Distributed Sensor Networks

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Video surveillance system (VSS) is increasingly becoming important part in daily life. For traditional VSS, each camera stores streaming data to a centralized server. It will create a great volume of video data for a large VSS and may raise some issues in keeping daily video data to centralized server, such as limited bandwidth and storage insufficiency of server and lower reliability and scalability. In order to solve the problem, we have proposed an architecture for VSS based on well-developed peer-to-peer technique and emerging cloud computing. In this paper, we implement a large-scale VSS (LVSS) and propose an evaluation framework based on the proposed architecture. We implement the LVSS exploits inherent characteristics of P2P and cloud computing to provide an economic, scalable, reliable, and efficient approach to store streaming video. We conducted some experiments to evaluate effectiveness and efficiency of the system. The result shows that the proposed architecture outperforms traditional VSS in terms of effectiveness, efficiency, reliability, and scalability.

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A Large Scale Video Surveillance System with Heterogeneous Information Fusion and Visualization for Wide Area Monitoring

Cited by 7 publications

References 12 publications

Fusing surveillance videos and three‐dimensional scene: A mixed reality system

Fusing surveillance videos and three‐dimensional scene: A mixed reality system

A Distributed Surveillance System With Full Coverage Guarantee Using Positive Orthogonal Codes

Implementation and Evaluation of Large-Scale Video Surveillance System Based on P2P Architecture and Cloud Computing

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