Monthly Archives: September 2015

Distributed Vision-Based Flying Cameras to Film a Moving Target

Distributed Vision-Based Flying Cameras to Film a Moving Target

  • Fabio Poiesi and Andrea Cavallaro. Distributed Vision-Based Flying Cameras to Film a Moving Target. In Proceedings of International Conference on Intelligent Robots and Systems (IROS 2015), pages 2453-2459, Hambourg, Germany, 2015. doi:10.1109/IROS.2015.7353710
    [BibTeX] [Abstract] [Download PDF]

    Formations of camera-equipped quadrotors (flying cameras) have the actuation agility to track moving targets from multiple viewing angles. In this paper we propose an infrastructure-free distributed control method for multiple flying cameras tracking a moving object. The proposed visionbased servoing can deal with noisy and missing target observations, accounts for quadrotor oscillations and does not require an external positioning system. The flight direction of each camera is inferred via geometric derivation, and the formation is maintained by employing a distributed algorithm that uses the target position information on the camera plane and the position of neighboring flying cameras. Simulations show that the proposed solution enables the tracking of a moving target by the cameras flying in formation despite noisy target detections and when the target is outside some of the fields of view.

    @InProceedings{2015-09-POIESI,
    author = {Fabio Poiesi and Andrea Cavallaro},
    title = {{Distributed Vision-Based Flying Cameras to Film a Moving Target}},
    booktitle = {{Proceedings of International Conference on Intelligent Robots and Systems (IROS 2015)}},
    address = {Hambourg, Germany},
    date = {2015-09-28/2015-10-02},
    url = {http://www.fabio-poiesi.com/files/papers/conferences/2015_IROS_DistributedFlyingCamerasFilmTarget_Poiesi_Cavallaro.pdf},
    abstract = {Formations of camera-equipped quadrotors (flying cameras) have the actuation agility to track moving targets from multiple viewing angles. In this paper we propose an infrastructure-free distributed control method for multiple flying cameras tracking a moving object. The proposed visionbased servoing can deal with noisy and missing target observations, accounts for quadrotor oscillations and does not require an external positioning system. The flight direction of each camera is inferred via geometric derivation, and the formation is maintained by employing a distributed algorithm that uses the target position information on the camera plane and the position of neighboring flying cameras. Simulations show that the proposed solution enables the tracking of a moving target by the cameras flying in formation despite noisy target detections and when the target is outside some of the fields of view.},
    year = {2015},
    doi = {10.1109/IROS.2015.7353710},
    pages = {2453-2459}
    }

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Cross-layer Theoretical Analysis of NC-aided Cooperative ARQ Protocols in Correlated Shadowed Environments

Cross-layer Theoretical Analysis of NC-aided Cooperative ARQ Protocols in Correlated Shadowed Environments

  • Angelos Antonopoulos, Aris S. Lalos, Marco Di Renzo, and Christos Verikoukis. Cross-layer Theoretical Analysis of NC-aided Cooperative ARQ Protocols in Correlated Shadowed Environments. IEEE Transactions on Vehicular Technology, 64(9):4074-4087, 2015. doi:10.1109/TVT.2014.2361670
    [BibTeX]
    @Article{2015-09-ANTONOPOULOS,
    author = {Angelos Antonopoulos and Aris S. Lalos and Marco Di Renzo and Christos Verikoukis},
    title = {{Cross-layer Theoretical Analysis of NC-aided Cooperative ARQ Protocols in Correlated Shadowed Environments}},
    journal = {{IEEE Transactions on Vehicular Technology}},
    date = {2015-09},
    volume = {64},
    number = {9},
    pages = {4074-4087},
    year = {2015},
    doi = {10.1109/TVT.2014.2361670}
    }

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Pawlak’s Flow Graph Extensions for Video Surveillance Systems

Pawlak’s Flow Graph Extensions for Video Surveillance Systems

  • Karol Lisowski and Andrzej Czyżewski. Pawlak’s Flow Graph Extensions for Video Surveillance Systems. In Proceedings of the 10th International Symposium Advances in Artificial Intelligence and Applications (AAIA 2015), pages 81-87, Lodz, Poland, 2015. doi:10.15439/2015F384
    [BibTeX] [Abstract]

    The idea of the Pawlak’s flow graphs is applicable to many problems in various fields related to decision algorithms or data mining. The flow graphs can be used also in the video surveillance systems. Especially in distributed multi-camera systems which are problematic to be handled by human operators because of their limited perception. In such systems automated video analysis needs to be implemented. Important part of this analysis is tracking object within a single camera and between cameras’ fields of vision. One of element needed to re-identify the single real object besides object’s visual features and spatiotemporal dependencies between cameras is a behaviour model. The flow graph after some modifications, is a suitable data structure, which concept is based on the rough set theory, to contained as a behaviour model in it. Additionally, the flow graph can be used to predict the future movement of given object. In this paper a survey of authors research works related to employing flowgraphs in video surveillance systems is contained. The flow graph creation based on the paths of objects inside supervised area will presented. Moreover, a method of building a probability tree on the basis of the flow graph and a method for adapting the flowgraph to the changing topology of the camera network are also discussed.

    @InProceedings{2015-09-LISOWSKI,
    author = {Karol Lisowski and Andrzej Czy\.zewski},
    title = {{Pawlak's Flow Graph Extensions for Video Surveillance Systems}},
    booktitle = {{Proceedings of the 10th International Symposium Advances in Artificial Intelligence and Applications (AAIA 2015)}},
    address = {Lodz, Poland},
    date = {2015-09-13/2015-09-16},
    pages = {81-87},
    doi = {10.15439/2015F384},
    abstract = {The idea of the Pawlak’s flow graphs is applicable to many problems in various fields related to decision algorithms or data mining. The flow graphs can be used also in the video surveillance systems. Especially in distributed multi-camera systems which are problematic to be handled by human operators because of their limited perception. In such systems automated video analysis needs to be implemented. Important part of this analysis is tracking object within a single camera and between cameras’ fields of vision. One of element needed to re-identify the single real object besides object’s visual features and spatiotemporal dependencies between cameras is a behaviour model. The flow graph after some modifications, is a suitable data structure, which concept is based on the rough set theory, to contained as a behaviour model in it. Additionally, the flow graph can be used to predict the future movement of given object. In this paper a survey of authors research works related to employing flowgraphs in video surveillance systems is contained. The flow graph creation based on the paths of objects inside supervised area will presented. Moreover, a method of building a probability tree on the basis of the flow graph and a method for adapting the flowgraph to the changing topology of the camera network are also discussed.},
    year = {2015}
    }

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Zdalny zintegrowany modul nadzoru radiowo-wizyjnego (An integrated module for remote radio and visual monitoring)

Zdalny zintegrowany modul nadzoru radiowo-wizyjnego (An integrated module for remote radio and visual monitoring)

  • Janusz Cichowski, Lisowski Karol, Szczuko Piotr, and Andrzej Czyżewski. Zdalny zintegrowany moduł nadzoru radiowo-wizyjnego (An integrated module for remote radio and visual monitoring). In Krajowe Sympozjum Telekomunikacji i Teleinformatyki (KSTiT 2015), Kraków, Poland, 2015. doi:10.15199/59.2015.8-9.24
    [BibTeX]
    @InProceedings{2015-09-CICHOWSKI,
    author = {Janusz Cichowski and Lisowski Karol and Szczuko Piotr and Andrzej Czy\.zewski},
    title = {{Zdalny zintegrowany modu\l{} nadzoru radiowo-wizyjnego (An integrated module for remote radio and visual monitoring)}},
    booktitle = {{Krajowe Sympozjum Telekomunikacji i Teleinformatyki (KSTiT 2015)}},
    address = {Krak\'{o}w, Poland},
    date = {2015-09-13/2015-09-16},
    doi = {10.15199/59.2015.8-9.24},
    year = {2015}
    }

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Efficient Algorithm for Blinking LED Detection Dedicated to Embedded Systems Equipped with High Performance Cameras

Efficient Algorithm for Blinking LED Detection Dedicated to Embedded Systems Equipped with High Performance Cameras

  • Michal Tarkowski, Przemysł, and Lukasz Kulas. Efficient Algorithm for Blinking LED Detection Dedicated to Embedded Systems Equipped with High Performance Cameras. In Proceedings of International Conference on Computer as a Tool (EUROCON 2015), pages 1-4, Salamanca, Spain, 2015. doi:10.1109/EUROCON.2015.7313723
    [BibTeX]
    @InProceedings{2015-09-TARKOWSKI,
    author = {Michal Tarkowski and Przemys\l{}aw Wo\'{z}nica and \Lukasz Kulas},
    booktitle = {{Proceedings of International Conference on Computer as a Tool (EUROCON 2015)}},
    title = {{Efficient Algorithm for Blinking LED Detection Dedicated to Embedded Systems Equipped with High Performance Cameras}},
    date = {2015-09-08/2015-09-11},
    address = {Salamanca, Spain},
    doi = {10.1109/EUROCON.2015.7313723},
    pages = {1-4},
    year = {2015}
    }

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Energy Management via PI Control for Data Parallel Applications with Throughput Constraints

Energy Management via PI Control for Data Parallel Applications with Throughput Constraints

  • Anca Molnos, Warody Lombardi, Suzanne Lesecq, Julien Mottin, Diego Puschini, and Arnaud Tonda. Energy Management via PI Control for Data Parallel Applications with Throughput Constraints. In Proceedings of the 25th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS 2015), pages 63-70, Salvador da Bahia, Brazil, 2015. doi:10.1109/PATMOS.2015.7347588
    [BibTeX]
    @InProceedings{2015-09-MOLNOS,
    author = {Anca Molnos and Warody Lombardi and Suzanne Lesecq and Julien Mottin and Diego Puschini and Arnaud Tonda},
    title = {{Energy Management via PI Control for Data Parallel Applications with Throughput Constraints}},
    booktitle = {{Proceedings of the 25th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS 2015)}},
    address = {Salvador da Bahia, Brazil},
    date = {2015-09-01/2015-09-04},
    doi = {10.1109/PATMOS.2015.7347588},
    pages = {63-70},
    year = {2015}
    }

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