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Trajectory and image-based detection and identification of UAV / Yicheng Liu in The Visual Computer, vol 37 n° 7 (July 2021)  

Public [article]  inThe Visual Computer > vol 37 n° 7 (July 2021) Titre : Trajectory and image-based detection and identification of UAV Type de document : Article/Communication Auteurs : Yicheng Liu, Auteur ; Luchuan Liao, Auteur ; Hao Wu, Auteur ; et al., Auteur Année de publication : 2021 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] Aves [Termes IGN] caméra de surveillance PTZ [Termes IGN] classification par réseau neuronal convolutif [Termes IGN] détection d'objet [Termes IGN] drone [Termes IGN] forme caractéristique [Termes IGN] interférence [Termes IGN] objet mobile [Termes IGN] reconnaissance de formes [Termes IGN] trajectoire (véhicule non spatial) Résumé : (auteur) Much more attentions have been attracted to the inspection and prevention of unmanned aerial vehicle (UAV) in the wake of increasing high frequency of security accident. Many factors like the interferences and the small fuselage of UAV pose challenges to the timely detection of the UAV. In our work, we present a system that is capable of detecting, recognizing, and tracking an UAV using single camera automatically. For our method, a single pan–tilt–zoom (PTZ) camera detects flying objects and gets their trajectories; then, the trajectory identified as a UAV guides the camera and PTZ to capture the detailed region image of the target. Therefore, the images can be classified into the UAV and interference classes (such as birds) by the convolution neural network classifier trained with our image dataset. For the target recognized as a UAV with the double verification, the radio jammer emits the interferential radio to disturb its control radio and GPS. This system could be applied in some complex environment where many birds and UAV appear simultaneously. Numéro de notice : A2021-541 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1007/s00371-020-01937-y Date de publication en ligne : 29/07/2020 En ligne : https://doi.org/10.1007/s00371-020-01937-y Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98020 [article]

Accuracy analysis of a dual camera system with an asymmetric photogrammetric configuration / Bo Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 3 (March 2015)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 3 (March 2015) . - pp 219 - 228 Titre : Accuracy analysis of a dual camera system with an asymmetric photogrammetric configuration Type de document : Article/Communication Auteurs : Bo Wu, Auteur ; Lei Ye, Auteur ; Yuansheng Yang, Auteur Année de publication : 2015 Article en page(s) : pp 219 - 228 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s) [Termes IGN] caméra de surveillance PTZ [Termes IGN] caméra numérique [Termes IGN] image multi sources [Termes IGN] modèle géométrique de prise de vue [Termes IGN] objectif grand angulaire [Termes IGN] précision des mesures Résumé : (auteur) This paper presents a dual camera system combining a wide field-of-view (FOV) surveillance camera and a pan-tiltzoom (PTZ) camera with an asymmetric photogrammetric configuration, and focuses on the analysis of its attainable measurement accuracy. First, we discuss the geometric modeling of the asymmetric photogrammetric configuration and analyze the accuracy of measurement based on error propagation for different baseline lengths, different focal lengths, and different pan angles of the PTZ camera. Second, we performed a comprehensive accuracy analysis based on Monte Carlo simulation, which incorporated artificial noise into the input data. Third, we conducted actual experiments in indoor and outdoor environments to verify the theoretical and simulation results. We found that the baseline length between the dual cameras was the main factor influencing measurement accuracy. Increase of the PTZ camera focal length could improve the measurement accuracy, but this trend was not significant when its focal length was relatively long. The pan angle of the PTZ camera also influenced the measurement accuracy, but this influence was not significant at short ranges. From these discoveries, we present an optimum configuration of the dual camera system for better than 1 percent measurement accuracy of the range within a normal observation range (e.g., 60 m). This proposed dual camera system provides enhanced machine vision capabilities that can be used in various applications. Numéro de notice : A2015-971 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.3.219-228 En ligne : http://dx.doi.org/10.14358/PERS.81.3.219-228 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80029 [article]

GIS-augmented video surveillance / A. Milosavljevic in International journal of geographical information science IJGIS, vol 24 n° 9 (september 2010)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 24 n° 9 (september 2010) . - pp 1415 - 1433 Titre : GIS-augmented video surveillance Type de document : Article/Communication Auteurs : A. Milosavljevic, Auteur ; D. Rancic, Auteur ; A. Rancic, Auteur Année de publication : 2010 Article en page(s) : pp 1415 - 1433 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] caméra de surveillance PTZ [Termes IGN] réalité augmentée [Termes IGN] SIG 3D [Termes IGN] système d'information géographique [Termes IGN] vidéo numérique [Termes IGN] zone urbaine Résumé : (Auteur) Registration in augmented reality is a process that merges virtual objects generated by a computer with real-world images captured by a camera. In this article, we present a method for registration of geospatial data applicable to outdoor video surveillance systems consisting of several PTZ cameras. PTZ is an abbreviation for pan-tilt-zoom, and in the terminology of video surveillance it indicates cameras that can rotate in the horizontal (pan) and vertical planes (tilt) and change their level of magnification (zoom). Registration is based on transforming these relative camera view parameters into the absolute position, orientation and field of view required by the three-dimensional geographic information systems (3D GISs). Once the 3D GIS and camera views are aligned, it is possible to identify geospatial objects from the camera image, as well as to overlap the virtual scene with the real one. In addition, inverse transformation of the view parameters allows for selecting and pointing the appropriate camera to some geo-referenced feature or event. Based on the proposal, we developed GeoScopeAVS, a GIS-based system for augmented video surveillance and suggested application of such a system in emergency situation management and urban planning. Numéro de notice : A2010-407 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658811003792213 En ligne : https://doi.org/10.1080/13658811003792213 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30600 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-2010051	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-2010052	RAB	Revue	Centre de documentation	En réserve L003	Disponible