Multi-camera Control and Video Transmission Architecture for Distributed Systems

Advances in Intelligent and Soft Computing

2012

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Abstract. In this contribution a Multi-Agent System architecture is proposed to deal with the management of spatially distributed heterogeneous nets of sensors, specially is described the problem of Pan-Tilt-Zoom or active cameras. The design of surveillance multi-sensor systems implies undertaking to solve two related problems: data fusion and coordinated sensor-task management. Generally, proposed architectures for the coordinated operation of multiple sensors are based on centralization of management decisions at the fusion center. However, the existence of intelligent sensors capable of taking decisions brings the possibility of conceiving alternative decentralized architectures. This problem could be approached by means of a Multi-Agent System (MAS). In specific, this paper proposes a MAS architecture for automatically control sensors in video surveillance environments.

Section: Sensor Agentmentioning

confidence: 99%

Distributed Active-Camera Control Architecture Based on Multi-Agent Systems

Advances in Intelligent and Soft Computing

2012

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“…ContextCare architecture is an monitoring system that englobes two different architectures: inContexto [6] which monitors user activity and location and video surveillance system [2] which uses inContexto information to focus on an anomalous situation reducing the time spend by security personnel in front of a screen.…”

Section: Related Workmentioning

confidence: 99%

“…For local processes running on the same computer it is created a shared region of non-paged memory which can be accessed to retrieve the latest video frames. On the other hand, for remote processes, it is used a JPEG2000 [9] compression and real-time streaming system [2] with the aim of provide frames with the minimum delay. This allows to transmit real-time video sequences to remote processes like operators, agents, backup systems, mobile phones, etc.…”

Section: Video Surveillance Architecturementioning

confidence: 99%

See 1 more Smart Citation

ContextCare: Autonomous Video Surveillance System Using Multi-camera and Smartphones

Gil

Advances in Intelligent Systems and Computing

Berlanga

2012

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In the future, Ambient Intelligence (AmI) technology could assist people autonomously and interpret their intentions. Current technology can already be used to recognize the presence of a person in a private or public space and trigger an automatic response or reaction depending on the user activity. This work describes ContextCare, an extension for an video surveillance system in a health care scenarios based on activity recognition using sensor smartphones. Both systems are coordinated using ECA parading.

A practical approach for active camera coordination based on a fusion-driven multi-agent system

International Journal of Systems Science

2013

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Abstract:In this paper, we propose a multi-agent system architecture to manage spatially distributed active (or pan-tilt-zoom) cameras. Traditional video surveillance algorithms are of no use for active cameras, and we have to look at different approaches. Such multi-sensor surveillance systems have to be designed to solve two related problems: data fusion and coordinated sensor-task management. Generally, architectures proposed for the coordinated operation of multiple cameras are based on the centralisation of management decisions at the fusion centre. However, the existence of intelligent sensors capable of decision making brings with it the possibility of conceiving alternative decentralised architectures. This problem is approached by means of a MAS, integrating data fusion as an integral part of the architecture for distributed coordination purposes. This paper presents the MAS architecture and system agents.