Real-Time Video Surveillance over IEEE 802.11 Mesh Networks

Kandhalu, Arvind; Rowe, Anthony; Rajkumar, Ragunathan; Huang, Ching-Chun; Yeh, Chao-Chun

doi:10.1109/rtas.2009.38

Cited by 21 publications

(8 citation statements)

References 20 publications

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“…An energy efficient image transportation strategy based on motion detection has been designed in [6] to tackle both the power limitations and the bandwidth limitation issues since it reduces the amount of frames to be transmitted. The limitations of 802.11 DCF MAC protocol specially in multi-hops scenarios has been addressed in [7] by designing a Time-Synchronized Application level MAC protocol (TSAM) capable of operating on top of existing 802.11 protocols; in addition, it can be used with off-the-shelf hardware and is capable of improving throughput and providing bounded delay. Another interesting approach to the performance of the network of sensors proposes a new schema for fair resource allocation operating at the application layer [8].…”

Section: State Of the Art In Intelligent Video Surveillance Systemsmentioning

confidence: 99%

An Intelligent Surveillance Platform for Large Metropolitan Areas with Dense Sensor Deployment

Fernández

Calavia

Baladrón

et al. 2013

Sensors

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This paper presents an intelligent surveillance platform based on the usage of large numbers of inexpensive sensors designed and developed inside the European Eureka Celtic project HuSIMS. With the aim of maximizing the number of deployable units while keeping monetary and resource/bandwidth costs at a minimum, the surveillance platform is based on the usage of inexpensive visual sensors which apply efficient motion detection and tracking algorithms to transform the video signal in a set of motion parameters. In order to automate the analysis of the myriad of data streams generated by the visual sensors, the platform's control center includes an alarm detection engine which comprises three components applying three different Artificial Intelligence strategies in parallel. These strategies are generic, domain-independent approaches which are able to operate in several domains (traffic surveillance, vandalism prevention, perimeter security, etc.). The architecture is completed with a versatile communication network which facilitates data collection from the visual sensors and alarm and video stream distribution towards the emergency teams. The resulting surveillance system is extremely suitable for its deployment in metropolitan areas, smart cities, and large facilities, mainly because cheap visual sensors and autonomous alarm detection facilitate dense sensor network deployments for wide and detailed coverage.

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Section: State Of the Art In Intelligent Video Surveillance Systemsmentioning

confidence: 99%

An Intelligent Surveillance Platform for Large Metropolitan Areas with Dense Sensor Deployment

Fernández

Calavia

Baladrón

et al. 2013

Sensors

View full text Add to dashboard Cite

show abstract

“…To conduct an insightful survey that uncovers the underlying structural shortcomings we relaxed our requirements. We organized the platforms that satisfy our relaxed selection criteria into architectural classes: General Purpose Architectures: MeshEye [12] and WiSN Mote [7], Panoptes [13], XYZ [14], and NIT-Hohai Node [15]; Heavily Coupled Architectures: eCAM and WiSNAP [16], Cyclops [17], Smart Camera Mote [18], and CMUcam3 [19], and Externally Dependent Architectures: DSPCam [20], Stargate [21], Imote2/Stargate 2 [2], [22], CITRIC [23], Scatter-Web [24], FleckTM-3 [25] and Fox node [26].…”

Section: Selection and Organization Of Wireless Video Sensor Node Plamentioning

confidence: 99%

Towards Efficient Wireless Video Sensor Networks: A Survey of Existing Node Architectures and Proposal for A Flexi-WVSNP Design

Seema

Reisslein

2011

IEEE Commun. Surv. Tutorials

100

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“…Snidaro et al (2008) proposed an automatic multisensor surveillance system focusing on detection and alarming if unauthorized human trying to cross in the harbor area. Kandhalu et al (2009) presented a distributed real-time surveillance system, named OmniEye with large-scale deployment of video cameras over wireless mesh networks. Other researchers also proposed such as foreground analysis of realtime video surveillance (Tian et al 2005), detection and tracking of moving object (Connell et al 2004), and automatic detection and indexing of video-surveillance-event shots (Foresti et al 2002).…”

Section: Uvs Architecturementioning

confidence: 99%

Effective distributed service architecture for ubiquitous video surveillance

Chang

Wang

et al. 2010

Inf Syst Front

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Video surveillance systems are playing an important role to protect lives and assets of individuals, enterprises and governments. Due to the prevalence of wired and wireless access to Internet, it would be a trend to integrate present isolated video surveillance systems by applying distributed computing environment and to further gestate diversified multimedia intelligent surveillance (MIS) applications in ubiquity. In this paper, we propose a distributed and secure architecture for ubiquitous video surveillance (UVS) services over Internet and error-prone wireless networks with scalability, ubiquity and privacy. As cloud computing, users consume UVS related resources as a service and do not need to own the physical infrastructure, platform, or software. To protect the service privacy, preserve the service scalability and provide reliable UVS video streaming for end users, we apply the AES security mechanism, multicast overlay network and forward error correction (FEC), respectively. Different value-added services can be created and added to this architecture without introducing much traffic load and degrading service quality. Besides, we construct an experimental test-bed for UVS system with three kinds of services to detect fire and fallincident features and record the captured video at the same time. Experimental results showed that the proposed distributed service architecture is effective and numbers of services on different multicast islands were successfully connected without influencing the playback quality. The average sending rate and the receiving rates of these services are quite similar, and the surveillance video is smoothly played.

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Real-Time Video Surveillance over IEEE 802.11 Mesh Networks

Abstract: Abstract

Cited by 21 publications

References 20 publications

An Intelligent Surveillance Platform for Large Metropolitan Areas with Dense Sensor Deployment

An Intelligent Surveillance Platform for Large Metropolitan Areas with Dense Sensor Deployment

Towards Efficient Wireless Video Sensor Networks: A Survey of Existing Node Architectures and Proposal for A Flexi-WVSNP Design

Effective distributed service architecture for ubiquitous video surveillance

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