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dc.contributor.authorMehmood, Irfan
dc.contributor.authorSajjad, M.
dc.contributor.authorEjaz, W.
dc.contributor.authorBaik, S.W.
dc.date.accessioned2019-07-18T12:37:29Z
dc.date.accessioned2019-08-02T09:17:24Z
dc.date.available2019-07-18T12:37:29Z
dc.date.available2019-08-02T09:17:24Z
dc.date.issued2015-07
dc.identifier.citationMehmood I, Sajjad M, Ejaz W et al (2015) Saliency-directed prioritization of visual data in wireless surveillance networks. Information Fusion. 24: 16-30.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17183
dc.descriptionYesen_US
dc.description.abstractIn wireless visual sensor networks (WVSNs), streaming all imaging data is impractical due to resource constraints. Moreover, the sheer volume of surveillance videos inhibits the ability of analysts to extract actionable intelligence. In this work, an energy-efficient image prioritization framework is presented to cope with the fragility of traditional WVSNs. The proposed framework selects semantically relevant information before it is transmitted to a sink node. This is based on salient motion detection, which works on the principle of human cognitive processes. Each camera node estimates the background by a bootstrapping procedure, thus increasing the efficiency of salient motion detection. Based on the salient motion, each sensor node is classified as being high or low priority. This classification is dynamic, such that camera nodes toggle between high-priority and low-priority status depending on the coverage of the region of interest. High-priority camera nodes are allowed to access reliable radio channels to ensure the timely and reliable transmission of data. We compare the performance of this framework with other state-of-the-art methods for both single and multi-camera monitoring. The results demonstrate the usefulness of the proposed method in terms of salient event coverage and reduced computational and transmission costs, as well as in helping analysts find semantically relevant visual information.en_US
dc.description.sponsorshipSupported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2013R1A1A2012904).en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1016/j.inffus.2014.07.002en_US
dc.rights© 2014 Elsevier B.V. All rights reserved. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.en_US
dc.subjectImage prioritizationen_US
dc.subjectWireless visual sensor networksen_US
dc.subjectMonitoring applicationsen_US
dc.subjectSalient activity detectionen_US
dc.titleSaliency-directed prioritization of visual data in wireless surveillance networksen_US
dc.status.refereedYesen_US
dc.date.Accepted2014
dc.date.application2014-08-11
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.date.updated2019-07-18T11:37:41Z
refterms.dateFOA2019-08-02T09:19:30Z


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