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Video Sensor Architecture for Surveillance Applications

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Video Sensor Architecture for Surveillance Applications

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dc.contributor.author Sánchez Peñarroja, Jordi es_ES
dc.contributor.author Benet Gilabert, Ginés es_ES
dc.contributor.author Simó Ten, José Enrique es_ES
dc.date.accessioned 2013-05-14T09:23:12Z
dc.date.available 2013-05-14T09:23:12Z
dc.date.issued 2012
dc.identifier.issn 1424-8220
dc.identifier.uri http://hdl.handle.net/10251/28817
dc.description.abstract This paper introduces a flexible hardware and software architecture for a smart video sensor. This sensor has been applied in a video surveillance application where some of these video sensors are deployed, constituting the sensory nodes of a distributed surveillance system. In this system, a video sensor node processes images locally in order to extract objects of interest, and classify them. The sensor node reports the processing results to other nodes in the cloud (a user or higher level software) in the form of an XML description. The hardware architecture of each sensor node has been developed using two DSP processors and an FPGA that controls, in a flexible way, the interconnection among processors and the image data flow. The developed node software is based on pluggable components and runs on a provided execution run-time. Some basic and application-specific software components have been developed, in particular: acquisition, segmentation, labeling, tracking, classification and feature extraction. Preliminary results demonstrate that the system can achieve up to 7.5 frames per second in the worst case, and the true positive rates in the classification of objects are better than 80%. © 2012 by the authors; licensee MDPI, Basel, Switzerland. es_ES
dc.description.sponsorship This work has been partially supported by SENSE project (Specific Targeted Research Project within the thematic priority IST 2.5.3 of the 6th Framework Program of the European Commission: IST Project 033279), and has been also co-funded by the Spanish research projects SIDIRELI: DPI2008-06737-C02-01/02 and COBAMI: DPI2011-28507-C02-02, both partially supported with European FEDER funds. en_EN
dc.language Inglés es_ES
dc.publisher MDPI es_ES
dc.relation SENSE es_ES
dc.relation European Commission 033279 es_ES
dc.relation SIDIRELI DPI2008-06737-C02-01/02 es_ES
dc.relation COBAMI DPI2011-28507-C02-02 es_ES
dc.relation European FEDER es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Computer vision es_ES
dc.subject Distributed smart cameras es_ES
dc.subject Domain-specific architectures es_ES
dc.subject Image processing es_ES
dc.subject Real-time systems es_ES
dc.subject Surveillance systems es_ES
dc.subject Article es_ES
dc.subject Artificial intelligence es_ES
dc.subject Automated pattern recognition es_ES
dc.subject Computer assisted diagnosis es_ES
dc.subject Computer network es_ES
dc.subject Computer program es_ES
dc.subject Equipment es_ES
dc.subject Equipment design es_ES
dc.subject Instrumentation es_ES
dc.subject Methodology es_ES
dc.subject Organization and management es_ES
dc.subject Photography es_ES
dc.subject Transducer es_ES
dc.subject Videorecording es_ES
dc.subject Computer Communication Networks es_ES
dc.subject Equipment Failure Analysis es_ES
dc.subject Image Interpretation, Computer-Assisted es_ES
dc.subject Pattern Recognition, Automated es_ES
dc.subject Security Measures es_ES
dc.subject Software es_ES
dc.subject Transducers es_ES
dc.subject Video Recording es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Video Sensor Architecture for Surveillance Applications es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s120201509
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Sánchez Peñarroja, J.; Benet Gilabert, G.; Simó Ten, JE. (2012). Video Sensor Architecture for Surveillance Applications. Sensors. 12(2):1509-1528. doi:10.3390/s120201509 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.3390/s120201509 es_ES
dc.description.upvformatpinicio 1509 es_ES
dc.description.upvformatpfin 1528 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 211498
dc.identifier.pmcid PMC3304125 en_EN


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