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Fedorov, Igor
Publications (8 of 8) Show all publications
Fedorov, I., Thörnberg, B., Alqaysi, H., Lawaly, N. & O'Nils, M. (2021). A two-layer 3D reconstruction method and calibration for multi-camera-based volumetric positioning and characterization. IEEE Transactions on Instrumentation and Measurement, 70, Article ID 9193913.
Open this publication in new window or tab >>A two-layer 3D reconstruction method and calibration for multi-camera-based volumetric positioning and characterization
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2021 (English)In: IEEE Transactions on Instrumentation and Measurement, ISSN 0018-9456, E-ISSN 1557-9662, Vol. 70, article id 9193913Article in journal (Refereed) Published
Abstract [en]

A three-dimensional (3D) reconstruction method and multi-camera calibration using multiple artificial reference markers have been used for precise volumetric surveillance of fast-flying objects. The method uses a two-layer 3D reconstruction that integrates two multi-camera stereo-nodes. The fields of view of stereo nodes are directed at an acute angles to each other to provide greater coverage with the given constraints and to determine the flight characteristics of objects in 3D. The object’s flight reconstruction includes a “rough” estimation of its positions relative to selected artificial reference points in both stereo nodes separately and subsequent “refinement” of calculated positions. In this paper, we describe the proposed method and calibration technique, using a multi-camera system to measure object characteristics in 3D. The proposed method applies to volumetric surveillance in situations where it is necessary to count, track, and analyze the activities of flying objects, especially birds, using high spatial resolution.

National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-39878 (URN)10.1109/TIM.2020.3023202 (DOI)000594910700038 ()2-s2.0-85097253234 (Scopus ID)
Available from: 2020-09-18 Created: 2020-09-18 Last updated: 2021-01-11Bibliographically approved
Alqaysi, H., Lawal, N., Fedorov, I., Thörnberg, B. & O'Nils, M. (2021). Cost Optimized Design of Multi-Camera Domefor Volumetric Surveillance. IEEE Sensors Journal, 21(3), 3730-3737
Open this publication in new window or tab >>Cost Optimized Design of Multi-Camera Domefor Volumetric Surveillance
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2021 (English)In: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 21, no 3, p. 3730-3737Article in journal (Refereed) Published
Abstract [en]

A multi-camera dome consists of number ofcameras arranged in layers to monitor a hemisphere aroundits center. In volumetric surveillance,a 3D space is required tobemonitoredwhich can be achievedby implementing numberof multi-camera domes. A monitoring height is consideredas a constraint to ensure full coverage of the space belowit. Accordingly, the multi-camera dome can be redesignedinto a cylinder such that each of its multiple layers hasdifferent coverage radius. Minimum monitoring constraintsshould be met at all layers. This work is presenting a costoptimized design for the multi-camera dome that maximizesits coverage. The cost per node and number of squaremetersper dollar of multiple configurations are calculated using asearch space of cameras and considering a set of monitoring and coverage constraints. The proposed design is costoptimized per node and provides more coverage as compared to the hemispherical multi-camera dome.

Keywords
Camera node design, camera deployment, camera dome, cost optimization, multi-camera dome, volumetric surveillance, 3D monitoring, multiple-sensor systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-40339 (URN)10.1109/JSEN.2020.3025359 (DOI)000678186800029 ()2-s2.0-85099242881 (Scopus ID)
Available from: 2020-10-27 Created: 2020-10-27 Last updated: 2021-12-13Bibliographically approved
Alqaysi, H., Lawal, N., Fedorov, I., Thörnberg, B. & O'Nils, M. (2019). Design Exploration of Multi-Camera Dome. In: ICDSC 2019 Proceedings of the 13th International Conference on Distributed Smart Cameras: . Paper presented at 13th InternationalConference on Distributed Smart Cameras (ICDSC 2019), Trento, Italy, 9-11 September, 2019. New York, NY: ACM Digital Library, Article ID Article No. 7a.
Open this publication in new window or tab >>Design Exploration of Multi-Camera Dome
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2019 (English)In: ICDSC 2019 Proceedings of the 13th International Conference on Distributed Smart Cameras, New York, NY: ACM Digital Library, 2019, article id Article No. 7aConference paper, Published paper (Refereed)
Abstract [en]

Visual monitoring systems employ distributed smart cameras toeffectively cover a given area satisfying specific objectives. Thechoice of camera sensors and lenses and their deployment affectsdesign cost, accuracy of the monitoring system and the ability toposition objects within the monitored area. Design cost can bereduced by investigating deployment topology such as groupingcameras together to form a dome at a node and optimize it formonitoring constraints. The constraints may include coverage area,number of cameras that can be integrated in a node and pixelresolution at a given distance. This paper presents a method foroptimizing the design cost of multi-camera dome by analyzing tradeoffsbetween monitoring constraints. The proposed method can beused to reduce monitoring cost while fulfilling design objectives.Results show how to increase coverage area for a given cost byrelaxing requirements on design constraints. Multi-camera domescan be used in sky monitoring applications such as monitoring windparks and remote air-traffic control of airports where all-round fieldof view about a point is required to monitor.

Place, publisher, year, edition, pages
New York, NY: ACM Digital Library, 2019
Keywords
Distributed smart cameras, sky monitoring, volumetric surveillance.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-36762 (URN)10.1145/3349801.3349808 (DOI)000519116500007 ()2-s2.0-85073333209 (Scopus ID)978-1-4503-7189-6 (ISBN)
Conference
13th InternationalConference on Distributed Smart Cameras (ICDSC 2019), Trento, Italy, 9-11 September, 2019
Projects
SMART
Available from: 2019-07-29 Created: 2019-07-29 Last updated: 2021-12-13Bibliographically approved
Niskanen, I., Forsberg, V., Zakrisson, D., Reza, S., Hummelgård, M., Andres, B., . . . Thungström, G. (2019). Determination of nanoparticle size using Rayleigh approximation and Mie theory. Chemical Engineering Science, 201(29), 222-229
Open this publication in new window or tab >>Determination of nanoparticle size using Rayleigh approximation and Mie theory
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2019 (English)In: Chemical Engineering Science, ISSN 0009-2509, E-ISSN 1873-4405, Vol. 201, no 29, p. 222-229Article in journal (Refereed) Published
Abstract [en]

Accurate determination of the size of nanoparticles has an important role in many different scientific and industrial purposes, such as in material, medical and environment sciences, colloidal chemistry and astrophysics. We describe an effective optical method to determine the size of nanoparticles by analysis of transmission and scattering of visible spectral range data from a designed UV-Vis multi-spectrophotometer. The size of the nanoparticles was calculated from the extinction cross section of the particles using Rayleigh approximation and Mie theory. We validated the method using polystyrene nanospheres, cellulose nanofibrils, and cellulose nanocrystals. A good agreement was achieved through graphical analysis between measured extinction cross section values and theoretical Rayleigh approximation and Mie theory predictions for the sizes of polystyrene nanospheres at wavelength range 450 - 750 nm. Provided that Rayleigh approximation's forward scattering (FS)/back scattering (BS) ratio was smaller than 1.3 and Mie theory's FS/BS ratio was smaller than 1.8. A good fit for the hydrodynamic diameter of nanocellulose was achieved using the Mie theory and Rayleigh approximation. However, due to the high aspect ratio of nanocellulose, the obtained results do not directly reflect the actual cross-sectional diameters of the nanocellulose. Overall, the method is a fast, relatively easy, and simple technique to determine the size of a particle by a spectrophotometer. Consequently, the method can be utilized for example in production and quality control purposes as well as for research and development applications.

Keywords
Nanoparticles, size, Rayleigh approximation, Mie theory, spectrophotometer, nanocellulose
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-35764 (URN)10.1016/j.ces.2019.02.020 (DOI)000462034900020 ()2-s2.0-85062846560 (Scopus ID)
Available from: 2019-03-08 Created: 2019-03-08 Last updated: 2019-05-20Bibliographically approved
Alqaysi, H., Lawal, N., Fedorov, I. & O'Nils, M. (2018). Full Coverage Optimization for Multi Camera Dome Placement in Volumetric Monitoring. In: ACM International Conference Proceeding Series: . Paper presented at 12th International Conference on Distributed Smart Cameras, ICDSC 2018; Eindhoven; Netherlands; 3 September 2018 through 4 September 2018. New York, NY, USA: ACM Digital Library, Article ID Article No. 2.
Open this publication in new window or tab >>Full Coverage Optimization for Multi Camera Dome Placement in Volumetric Monitoring
2018 (English)In: ACM International Conference Proceeding Series, New York, NY, USA: ACM Digital Library, 2018, article id Article No. 2Conference paper, Published paper (Refereed)
Abstract [en]

Volumetric monitoring can be challenging due to having a 3D target space and moving objects within it. Multi camera dome is proposed to provide a hemispherical coverage of the 3D space around it. This paper introduces a method that optimizes multi camera placement for full coverage in volumetric monitoring system. Camera dome placement is modeled in a volume by adapting the hexagonal packing of circles to provide full coverage at a given height, and 100% detection of flying objects within it. The coverage effectiveness of different placement configurations was assessed using an evaluation environment. The proposed placement is applicable in designing and deploying surveillance systems for remote outdoor areas, such as sky monitoring in wind farms and airport runways in order to record and analyze flying activities.

Place, publisher, year, edition, pages
New York, NY, USA: ACM Digital Library, 2018
Keywords
Volumetric surveillance, sky monitoring, camera dome, placement optimization.
National Category
Engineering and Technology
Identifiers
urn:nbn:se:miun:diva-34589 (URN)10.1145/3243394.3243690 (DOI)000455840700002 ()2-s2.0-85056662761 (Scopus ID)978-1-4503-6511-6 (ISBN)
Conference
12th International Conference on Distributed Smart Cameras, ICDSC 2018; Eindhoven; Netherlands; 3 September 2018 through 4 September 2018
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2018-10-02 Created: 2018-10-02 Last updated: 2021-12-13Bibliographically approved
Fedorov, I., Lawal, N., Thörnberg, B., Alqaysi, H. & O'Nils, M. (2018). Towards calibration of outdoor multi-camera visual monitoring system. In: ACM International Conference Proceeding Series: . Paper presented at ICDSC'18 Proceedings of the 12th International Conference on Distributed Smart Cameras, Eindhoven, Netherlands, 3-4 September 2018.. New York, NY, US: ACM Digital Library
Open this publication in new window or tab >>Towards calibration of outdoor multi-camera visual monitoring system
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2018 (English)In: ACM International Conference Proceeding Series, New York, NY, US: ACM Digital Library, 2018, , p. 6Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a method for calibrating of multi-camera systems where no natural reference points exist in the surrounding environment. Monitoring the air space at wind farms is our test case. The goal is to monitor the trajectories of flying birds to prevent them from colliding with rotor blades. Our camera calibration method is based on the observation of a portable artificial reference marker made out of a pulsed light source and a navigation satellite sensor module. The reference marker can determine and communicate its position in the world coordinate system at centimeter precision using navigartion sensors. Our results showed that simultaneous detection of the same marker in several cameras having overlapping field of views allowed us to determine the markers position in 3D world coordinate space with an accuracy of 3-4 cm. These experiments were made in the volume around a wind turbine at distances from cameras to marker within a range of 70 to 90 m.

Place, publisher, year, edition, pages
New York, NY, US: ACM Digital Library, 2018. p. 6
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-34643 (URN)10.1145/3243394.3243695 (DOI)000455840700017 ()2-s2.0-85056618979 (Scopus ID)978-1-4503-6511-6 (ISBN)
Conference
ICDSC'18 Proceedings of the 12th International Conference on Distributed Smart Cameras, Eindhoven, Netherlands, 3-4 September 2018.
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2018-10-05 Created: 2018-10-05 Last updated: 2019-09-09Bibliographically approved
Alqaysi, H., Lawal, N., Fedorov, I. & O'Nils, M. (2017). Evaluating Coverage Effectiveness of Multi-Camera Domes Placement for Volumetric Surveillance. In: ICDSC 2017 Proceedings of the 11th International Conference on Distributed Smart Cameras: . Paper presented at The 11th International Conference on Distributed Smart Cameras (ICDSC), Stanford University, Stanford; United States; 5 September 2017 through 7 September 2017 (pp. 49-54). New York, NY, USA: Association for Computing Machinery (ACM), F132201
Open this publication in new window or tab >>Evaluating Coverage Effectiveness of Multi-Camera Domes Placement for Volumetric Surveillance
2017 (English)In: ICDSC 2017 Proceedings of the 11th International Conference on Distributed Smart Cameras, New York, NY, USA: Association for Computing Machinery (ACM), 2017, Vol. F132201, p. 49-54Conference paper, Published paper (Refereed)
Abstract [en]

Multi-camera dome is composed of a number of cameras arranged to monitor a half sphere of the sky. Designing a network of multi-camera domes can be used to monitor flying activities in open large area, such as birds' activities in wind parks. In this paper, we present a method for evaluating the coverage effectiveness of the multi-camera domes placement in such areas. We used GPS trajectories of free flying birds over an area of 9 km2 to analyze coverage effectiveness of randomly placed domes. The analysis is based on three criteria namely, detection, positioning and the maximum resolution captured. The developed method can be used to evaluate results of designing and optimizing dome placement algorithms for volumetric monitoring systems in order to achieve maximum coverage.

Place, publisher, year, edition, pages
New York, NY, USA: Association for Computing Machinery (ACM), 2017
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-32311 (URN)10.1145/3131885.3131916 (DOI)000716998900008 ()2-s2.0-85038865753 (Scopus ID)978-1-4503-5487-5 (ISBN)
Conference
The 11th International Conference on Distributed Smart Cameras (ICDSC), Stanford University, Stanford; United States; 5 September 2017 through 7 September 2017
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2017-12-07 Created: 2017-12-07 Last updated: 2022-06-02Bibliographically approved
Fedorov, I., Lawal, N., O'Nils, M. & Alqaysi, H. (2017). Placement Strategy of Multi-Camera Volumetric Surveillance System for Activities Monitoring. In: ICDSC 2017 Proceedings of the 11th International Conference on Distributed Smart Cameras: . Paper presented at The 11th International Conference on Distributed Smart Cameras (ICDSC), Stanford University Stanford; United States; 5 September 2017 through 7 September 2017 (pp. 113-118). New York, NY, USA: Association for Computing Machinery (ACM), F132201
Open this publication in new window or tab >>Placement Strategy of Multi-Camera Volumetric Surveillance System for Activities Monitoring
2017 (English)In: ICDSC 2017 Proceedings of the 11th International Conference on Distributed Smart Cameras, New York, NY, USA: Association for Computing Machinery (ACM), 2017, Vol. F132201, p. 113-118Conference paper, Published paper (Refereed)
Abstract [en]

The design of multi-camera surveillance system comes with many advantages, for example it facilitates as understanding how flying objects act in a given volume. One possible application is for the observation interaction of birds and calculate their trajectories around wind turbines to create promising systems for preventing bird collisions with turbine blades. However, there are also challenges, such as finding the optimal node placement and camera calibration. To address these challenges we investigated a trade-off between calibration accuracy and node requirements, including resolution, modulation transfer function, field of view and angle baseline. We developed a strategy for camera placement to achieve improved coverage for golden eagle monitoring and tracking. This strategy based on the modified resolution criterion taking into account the contrast function of the camera and the estimation of the base angle between the cameras.

Place, publisher, year, edition, pages
New York, NY, USA: Association for Computing Machinery (ACM), 2017
Keywords
Multi-camera, outdoor monitoring, placement, camera calibration
National Category
Computer Systems Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-32726 (URN)10.1145/3131885.3131911 (DOI)000716998900018 ()2-s2.0-85038856097 (Scopus ID)978-1-4503-5487-5 (ISBN)
Conference
The 11th International Conference on Distributed Smart Cameras (ICDSC), Stanford University Stanford; United States; 5 September 2017 through 7 September 2017
Projects
SMART (Smarta system och tjänster för ett effektivt och innovativt samhälle)
Available from: 2018-01-23 Created: 2018-01-23 Last updated: 2022-06-02Bibliographically approved
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