Composite Event Detection in Multi-Camera and Multi-Sensor Surveillance Networks

Zhai, Yun; Feris, Rogério; Brown, Lisa M.; Bobbitt, Russell; Hampapur, Arun; Pankanti, Sharath; Fan, Quanfu; Yanagawa, Akira; Tian, Ying-li; Velipasalar, Senem

doi:10.1016/b978-0-12-374633-7.00021-5

Cited by 7 publications

(4 citation statements)

References 47 publications

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“…With more intelligence and coupling with multimedia in-network processing, camera sensor nodes can cooperate, and a portion of the image with the detected object will only be sent when two camera sensors have determined the object is of interest following their own individual criteria. Furthermore, as demonstrated by Zhai et al [62], camera sensors can collaborate and produce a textual only description for the events. Although local processing is a promising way to reduce the amount of data to be transmitted, it is worth to note that however, accompanying local processing are that more hardware resources will also be needed.Multimedia In-Network Processing: Multimedia in-network processing is defined as intermediate network computing amongst local nodes to promote network scalability through energy savings [111].…”

Section: Wireless Multimedia Sensor Networkmentioning

confidence: 99%

A Survey of Energy-Efficient Communication Protocols with QoS Guarantees in Wireless Multimedia Sensor Networks

Shu

Kim

Han

et al. 2019

Sensors

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In recent years, wireless multimedia sensor networks (WMSNs) have emerged as a prominent technique for delivering multimedia information such as still images and videos. Being under the great spotlight of research communities, however, multimedia delivery over resource- constraint WMSNs poses great challenges, especially in terms of energy efficiency and quality-of-service (QoS) guarantees. In this paper, recent developments in techniques for designing highly energy-efficient and QoS-capable WMSNs are surveyed. We first study the unique characteristics and the relevantly imposed requirements of WMSNs. For each requirement we also summarize their existing solutions. Then we review recent research efforts on energy-efficient and QoS-aware communication protocols, including MAC protocols, with a focus on their prioritization and service differentiation mechanisms and disjoint multipath routing protocols.

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Section: Wireless Multimedia Sensor Networkmentioning

confidence: 99%

A Survey of Energy-Efficient Communication Protocols with QoS Guarantees in Wireless Multimedia Sensor Networks

Shu

Kim

Han

et al. 2019

Sensors

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“…It extends the composite event formulation in active databases [28,32], considering the resource limitation in WSNs. In (1), an event, E, is formulated as a 3-tuple:…”

Section: Event Semanticsmentioning

confidence: 99%

Dynamic collaborative in-network event detection in wireless sensor networks

Cao

Fan

2015

Telecommun Syst

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Many applications of wireless sensor networks (WSNs) require events be detected around moving targets and delivered to a user, whose location may also change over time. Consequently, it is not desirable to have a single sensor node serving as the sink node for centralized event processing. Furthermore, an event usually occurs across different locations and lasts for a period of time that are unknown in advance. Hence it cannot be detected by a static set of sensor nodes. In this paper, we propose a general framework for such dynamic in-network event detection in WSNs. This framework enables a flexible number of sensor nodes to dynamically collaborate in detecting and delivering any specified event. So far there has been no such work reported in the literature. We have designed a protocol for the sensor nodes to autonomously determine whether they should participate in and which tasks they should perform to collaboratively process an event. We have implemented a prototype of the proposed framework using MicaZ motes and evaluated it through both simulations and experiments. The results demonstrate that our framework is effective and efficient in terms of energy cost and event processing delay.

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“…In addition to following individuals with cameras they can be made to carry RFIDtags which greatly reduce the possibility for severe false detections or misses. Zhai et al considered the prevention of retail-loss [24], in which some items bought are not being scanned properly by the cashier in order to hand them to the buyer for free. Multiple cameras were used to observe motion in barcode scanner-region and the bagging/belt region.…”

Section: Wearable Sensorsmentioning

confidence: 99%

Sensor fusion in smart camera networks for Ambient Intelligence

Määttä

2013

Journal of Ambient Intelligence and Smart Environments

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DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:

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Composite Event Detection in Multi-Camera and Multi-Sensor Surveillance Networks

Cited by 7 publications

References 47 publications

A Survey of Energy-Efficient Communication Protocols with QoS Guarantees in Wireless Multimedia Sensor Networks

A Survey of Energy-Efficient Communication Protocols with QoS Guarantees in Wireless Multimedia Sensor Networks

Dynamic collaborative in-network event detection in wireless sensor networks

Sensor fusion in smart camera networks for Ambient Intelligence

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