Four basic topologies interms of line configuration

On the implementation of data structures through theory of lists

Four basic topologies interms of line configuration

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Ubuntu Stable Version Transcript 1 D: In our approach, we hierarchically distribute theinformation in such a way that each individual node maintainsonly a small amount of information about the objects seen bythe network.

Nevertheless, this amount is sufficient to efficientlyroute queries through the network without any degradation ofthe matching performance. A set of requirements that have tobe fulfilled by the object-matching method to be used in sucha framework is defined.

We provide examples of mapping fourwell-known, object-matching methods to a hierarchical feature-distribution scheme.

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The proposed approach was tested on astandard COIL image database and in a basic surveillancescenario using our own distributed network simulator. The resultsshow that the amount of data transmitted through the networkcan be significantly reduced in comparison to naive feature-distribution schemes such as flooding.

Index Terms—Computer vision, distributed systems, objectmatching, visual-sensor networks. Furthermore, withdevelopments in the field of sensor networks, networks ofsmart cameras [visual-sensor networks VSNs ] have becomea hot topic of research.

The use of smart cameras includes suchdiverse areas as surveillance, traffic or environmental monitor-ing, analyses of sporting events, and ambient intelligence.

In comparison to other types of sensors, cameras providelarge amounts of digital data. Whenever a large numberof cameras are used together, e.

Four basic topologies interms of line configuration

The automatic processing of visualManuscript received August 19, ; revised December 13, andFebruary 7, ; accepted February 9, Date of publication March 28,; date of current version July 7, This paper was recommended by AssociateEditor P. Color versions of one or more of the figures in this paper are availableonline at http: Digital Object Identifier Since computer-vision algorithms operate on large amountsof digitized visual data, some type of high-end hardware isusually needed.

In terms of network topology, this leads to astar network structure—a powerful processing unit and one ormore sensors cameras. Such a structure has some advantages, such as the simplicityof the routing. A conceptual problem of such a centralizedapproach is that it is not scalable, i.

When additional nodes are addedto such a configuration, the central processor becomes a majorbottleneck.

Four basic topologies interms of line configuration

In some cases, the number of visual sensors may gointo the hundreds for example, the London Congestion Chargemonitoring system consists of more than cameras. It isobvious that the requirements for transmitting and processingthe data in such a large system are correspondingly large. Distributed systems do not rely on asingle central processor, but rather each node takes over itsshare of the processing load.

Answer Question

The transport of data may bebased on hop-by-hop routing, which means that the nodeonly knows how to reach its immediate neighbors, while thetask of reaching the final destination requires the participationof many nodes.

This means that computer-vision algorithmshave to be mapped to the distributed environment, which is achallenge on its own. In this paper, we deal with a fundamental task in com-puter vision:Issuu is a digital publishing platform that makes it simple to publish magazines, catalogs, newspapers, books, and more online.

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