Integrating multi-camera tracking into a dynamic task allocation system for smart cameras

Bramberger, Michael; Quaritsch, Markus; Winkler, Thomas; Rinner, Bernhard; Schwabach, Helmut

doi:10.1109/avss.2005.1577315

Cited by 18 publications

(16 citation statements)

References 3 publications

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“…An agent in MAS refers to many entities including software component, human, human-team, robot, etc. In surveillance applications, an agent refers to a static camera [Hodge and Kamel 2003;Monari et al 2008], a PTZ camera [Kim et al 2006], a smart camera [Bramberger et al 2005], and other sensors [Castanedo et al 2006]. MAS provides an architecture for controlling and coordinating distributed autonomous cameras in wide-area surveillance.…”

Section: Multiagent System Frameworkmentioning

confidence: 99%

“…The manager/supervisor node collects the data from these cameras and fuses it to obtain useful information or to make high-level decisions. The multi-tier architecture [Matsuyama and Ukita 2002;Bramberger et al 2005] is a variant of the hybrid architecture, where camera nodes in the top layers control cameras at the bottom layers in a hierarchical manner (see Figure 3(d)). The internal architecture of camera nodes in centralized and distributed architectures for a typical surveillance application is shown in Figures 4(a) and 4(b), respectively.…”

Section: Architecturesmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Camera Coordination and Control in Surveillance Systems

Natarajan

Atrey

Kankanhalli

2015

ACM Trans. Multimedia Comput. Commun. Appl.

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The use of multiple heterogeneous cameras is becoming more common in today's surveillance systems. In order to perform surveillance tasks, effective coordination and control in multi-camera systems is very important, and is catching significant research attention these days. This survey aims to provide researchers with a state-of-the-art overview of various techniques for multi-camera coordination and control (MC 3 ) that have been adopted in surveillance systems. The existing literature on MC 3 is presented through several classifications based on the applicable architectures, frameworks and the associated surveillance tasks. Finally, a discussion on the open problems in surveillance area that can be solved effectively using MC 3 and the future directions in MC 3 research is presented.

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Section: Multiagent System Frameworkmentioning

confidence: 99%

Section: Architecturesmentioning

confidence: 99%

Multi-Camera Coordination and Control in Surveillance Systems

Natarajan

Atrey

Kankanhalli

2015

ACM Trans. Multimedia Comput. Commun. Appl.

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“…The overall system can be described as an autonomous intelligent camera with powerful embedded processing when compared with modular systems associated with a computer. The system has been thought for monitoring applications such as: road monitoring 10 or intrusion detection or any other similar application. Quality control and control of industrial processes, where very high frame-rate on specific image sections are required, is another application field of the system.…”

Section: • a Cmos Sensor Interfacementioning

confidence: 99%

Smart camera with embedded co-processor: a postal sorting application

Mosqueron

Dubois

Mattavelli

2008

Optical and Digital Image Processing

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This work describes an image acquisition and processing system based on a new co-processor architecture designed for CMOS sensor imaging. The platform permits to configure a wide variety of acquisition modes (random region acquisition, variable image size, multi-exposition image) as well as high-performance image pre-processing (filtering, de-noising, binarisation, pattern recognition). Furthermore, the acquisition is driven by an FPGA, as well as a processing stage followed by a Nexperia processor. The data transfer, from the FPGAs board to the Nexperia processor, can be pipelined to the co-processor to increase achievable throughput performances. The coprocessor architecture has been designed so as to obtain a unit that can be configured on the fly, in terms of type and number of chained processing (up to 8 successive pre-defined pre-processing), during the image acquisition process that is dynamically defined by the application. Examples of acquisition and processing performances are reported and compared to classical image acquisition systems based on standard modular PC platforms. The experimental results show a considerable increase of the performances. For instance the reading of bar codes with applications to postal sorting on a PC platform is limited to about 15 images (letters) per second. The new platform beside resulting more compact and easily installable in hostile environments can successfully analyze up to 50 images/s.

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“…Fleck and Strasser [2005] use a network of cameras that perform tracking by handing over targets as they move between fields of view. Rinner's group at Graz University of Technology developed an embedded camera system for traffic monitoring and proposed methods for dynamic task allocation among a group of cameras [Bramberger et al 2005;Bramberger et al 2006]. Hengstler and Aghajan [2007] proposed an application-oriented approach to use a network of low-resolution image sensors on object tracking.…”

Section: Related Workmentioning

confidence: 99%

System and software architectures of distributed smart cameras

Lin

Wolf

Koutsoukos

et al. 2010

ACM Trans. Embed. Comput. Syst.

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In this article, we describe a distributed, peer-to-peer gesture recognition system along with a software architecture modeling technique and authority control protocol for ubiquitous cameras. This system performs gesture recognition in real time by combining imagery from multiple cameras without using a central server. We propose a system architecture that uses a network of inexpensive cameras to perform in-network video processing. A methodology for transforming well-designed single-node algorithm to distributed system is also proposed. Applications for ubiquitous cameras can be modeled as the composition of a finite-state machine of the system, functional services, and middleware. A service-oriented software architecture is proposed to dynamically reconfigure services when system state changes. By exchanging data and control messages between neighboring sensors, each node can maintain broader view of the environment with integrated video-processing results. Our prototype system is built on Windows machines, and uses standard video cameras as sensors and local network as a communication channel.

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Integrating multi-camera tracking into a dynamic task allocation system for smart cameras

Cited by 18 publications

References 3 publications

Multi-Camera Coordination and Control in Surveillance Systems

Multi-Camera Coordination and Control in Surveillance Systems

Smart camera with embedded co-processor: a postal sorting application

System and software architectures of distributed smart cameras

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