miun.sePublications
Change search
Link to record
Permanent link

Direct link
BETA
O'Nils, Mattias
Alternative names
Publications (10 of 143) Show all publications
Aurangzeb, K., Alhussein, M. & O'Nils, M. (2018). Analysis of Binary Image Coding Methods for Outdoor Applications of Wireless Vision sensor Networks. IEEE Access, 6, 16932-16941
Open this publication in new window or tab >>Analysis of Binary Image Coding Methods for Outdoor Applications of Wireless Vision sensor Networks
2018 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 16932-16941Article in journal (Refereed) Published
Abstract [en]

The processing of images at the vision sensor nodes (VSN) requires a high computation power and their transmission requires a large communication bandwidth. The energy budget is limited in outdoor applications of wireless vision sensor networks (WVSN). This means that both the processing of images at the VSN and the communication to server must be energy efficient. The wireless communication of uncompressed data consumes huge amounts of energy. Data compression methods are efficient in reducing data in images and can be used for the reduction in transmission energy. We have evaluated seven binary image coding techniques. Our evaluation is based on the processing complexity and energy consumption of the compression methods on the embedded platforms. The focus is to come up with a binary image coding method, which has good compression efficiency and short processing time. An image coding method with such attributes will result in reduced total energy requirement of the node. We have used both statistically generated images and real captured images, in our experiments. Based on our results, we conclude that International Telegraph and Telephone Consultative Committee Group 4, gzip_pack and JPEG-LS are suitable coding methods for the outdoor applications of WVSNs.

Keywords
Embedded systems, energy consumption, image compression, wireless vision sensor network
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-33623 (URN)10.1109/ACCESS.2018.2816162 (DOI)000430436500001 ()
Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2018-05-15Bibliographically approved
Shallari, I., Krug, S. & O'Nils, M. (2018). Architectural evaluation of node: server partitioning for people counting. 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: ACM Digital Library, Article ID Article No. 1.
Open this publication in new window or tab >>Architectural evaluation of node: server partitioning for people counting
2018 (English)In: ACM International Conference Proceeding Series, New York: ACM Digital Library, 2018, article id Article No. 1Conference paper, Published paper (Refereed)
Abstract [en]

The Internet of Things has changed the range of applications for cameras requiring them to be easily deployed for a variety of scenarios indoor and outdoor, while achieving high performance in processing. As a result, future projections emphasise the need for battery operated smart cameras, capable of complex image processing tasks that also communicate within one another, and the server. Based on these considerations, we evaluate in-node and node – server configurations of image processing tasks to provide an insight of how tasks partitioning affects the overall energy consumption. The two main energy components taken in consideration for their influence in the total energy consumption are processing and communication energy. The results from the people counting scenario proved that processing background modelling, subtraction and segmentation in-node while transferring the remaining tasks to the server results in the most energy efficient configuration, optimising both processing and communication energy. In addition, the inclusion of data reduction techniques such as data aggregation and compression not always resulted in lower energy consumption as generally assumed, and the final optimal partition did not include data reduction.

Place, publisher, year, edition, pages
New York: ACM Digital Library, 2018
Keywords
Image processing, people counting, smart camera, WVSN, thermography
National Category
Embedded Systems Signal Processing
Identifiers
urn:nbn:se:miun:diva-34613 (URN)10.1145/3243394.3243688 (DOI)2-s2.0-85056618892 (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
Available from: 2018-10-03 Created: 2018-10-03 Last updated: 2018-12-10Bibliographically approved
Shallari, I., Anwar, Q., Imran, M. & O'Nils, M. (2018). Background Modelling, Analysis and Implementation for Thermographic Images. In: PROCEEDINGS OF THE 2017 SEVENTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA 2017): . Paper presented at Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA 2017), Montreal, Canada; November 28 - December 1, 2017. IEEE
Open this publication in new window or tab >>Background Modelling, Analysis and Implementation for Thermographic Images
2018 (English)In: PROCEEDINGS OF THE 2017 SEVENTH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING THEORY, TOOLS AND APPLICATIONS (IPTA 2017), IEEE, 2018Conference paper, Published paper (Refereed)
Abstract [en]

Background subtraction is one of the fundamental steps in the image-processing pipeline for distinguishing foreground from background. Most of the methods have been investigated with respect to visual images, in which case challenges are different compared to thermal images. Thermal sensors are invariant to light changes and have reduced privacy concerns. We propose the use of a low-pass IIR filter for background modelling in thermographic imagery due to its better performance compared to algorithms such as Mixture of Gaussians and K-nearest neighbour, while reducing memory requirements for implementation in embedded architectures. Based on the analysis of four different image datasets both indoor and outdoor, with and without people presence, the learning rate for the filter is set to 3×10-3 Hz and the proposed model is implemented on an Artix-7 FPGA.

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Infrared; visual; pedestrian detection; smart camera; architecture; surveillance.
National Category
Embedded Systems
Identifiers
urn:nbn:se:miun:diva-32445 (URN)10.1109/IPTA.2017.8310078 (DOI)000428743900002 ()2-s2.0-85050756650 (Scopus ID)978-1-5386-1842-4 (ISBN)
Conference
Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA 2017), Montreal, Canada; November 28 - December 1, 2017
Projects
City Movements
Available from: 2017-12-13 Created: 2017-12-13 Last updated: 2018-10-01Bibliographically approved
Shahzad, K. & O'Nils, M. (2018). Condition Monitoring in Industry 4.0-Design Challenges and Possibilities: A Case Study. In: 2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018 - Proceedings: . Paper presented at 2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018, Brescia, Italy, 16 April 2018 through 18 April 2018 (pp. 101-106). IEEE, Article ID 8428306.
Open this publication in new window or tab >>Condition Monitoring in Industry 4.0-Design Challenges and Possibilities: A Case Study
2018 (English)In: 2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018 - Proceedings, IEEE, 2018, p. 101-106, article id 8428306Conference paper, Published paper (Refereed)
Abstract [en]

The application of IoT in manufacturing industry is believed to transform the traditional concept of factories into fully integrated manufacturing systems that are capable of meeting different requirements/demands originating within the factory, in supply chain and in user communities in a real time manner. One key area that is likely to benefit at an early stage development of the Industrial IoT is the condition monitoring of the production machinery. However, there are several challenges in realizing effective IoT enabled condition monitoring solutions with currently available enabling technologies. In this paper, we analyze the design challenges associated with realizing IoT enabled industrial condition monitoring with particular focus on enabling end-devices in managing large amount of acquired data. With the help of a vibration based condition monitoring case study the challenges are analyzed in a quantitative manner and possible alternatives are explored. The results suggest that for the efficient and long term condition monitoring in the smart industry of the future, improvements in the enabling technologies are required to design optimized end-devices. 

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Condition Monitoring, IIoT, Industrial health monitoring, Industry 4.0, IoT
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-34594 (URN)10.1109/METROI4.2018.8428306 (DOI)2-s2.0-85052495027 (Scopus ID)9781538624975 (ISBN)
Conference
2018 Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2018, Brescia, Italy, 16 April 2018 through 18 April 2018
Available from: 2018-10-03 Created: 2018-10-03 Last updated: 2018-10-03Bibliographically approved
Aurangzeb, K., Alhussein, M. & O'Nils, M. (2018). Data Reduction Using Change Coding for Remote Applications of wireless Visual Sensor Networks. IEEE Access, 6, 37738-37747
Open this publication in new window or tab >>Data Reduction Using Change Coding for Remote Applications of wireless Visual Sensor Networks
2018 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 37738-37747Article in journal (Refereed) Published
Abstract [en]

The data reduction capability of image compression schemes is limited by the underlying compression technique. For applications with minor changes between consecutive frames, change coding can be used to further reduce the data. We explored the efficiency of change coding for data reduction in a wireless visual sensor network (WVSN). This paper presents an analysis of the compression efficiency of change coding for a variety of changes, such as different shapes, sizes, and locations of white objects in adjacent sets of frames. Compressing change frame provides a better performance compared with compressing the original frames for up to 95% changes in the number of objects in adjacent frames. Due to illumination noise, the size of the objects increases at its boundaries, which negatively affects the performance of change coding. We experimentally proved that the negative impact of illumination noise could be reduced by applying morphology on the change frame. Communication energy consumption of the VSN is dependent on the data that are transmitted to the server. Our results show that the communication energy consumption of the VSN can be reduced by 27%, 29%, and 46% by applying change coding in combination with JBIG2, Group4, and Gzip_pack, respectively. The findings presented in this paper will aid researchers in enhancing the compression potential of image coding schemes in the energy-constrained applications of WVSNs.

Place, publisher, year, edition, pages
IEEE, 2018
National Category
Embedded Systems
Identifiers
urn:nbn:se:miun:diva-35003 (URN)10.1109/ACCESS.2018.2799958 (DOI)
Available from: 2018-12-03 Created: 2018-12-03 Last updated: 2018-12-05Bibliographically 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)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
Available from: 2018-10-02 Created: 2018-10-02 Last updated: 2018-12-10Bibliographically approved
Krug, S. & O'Nils, M. (2018). IoT Communication Introduced Limitations for High Sampling Rate Applications. In: GI/ITG KuVS Fachgespräch Sensornetze 13. & 14. September 2018, Braunschweig : Technical Report: . Paper presented at GI/ITG KuVS Fachgespräch Sensornetze – FGSN 2018.
Open this publication in new window or tab >>IoT Communication Introduced Limitations for High Sampling Rate Applications
2018 (English)In: GI/ITG KuVS Fachgespräch Sensornetze 13. & 14. September 2018, Braunschweig : Technical Report, 2018Conference paper, Published paper (Refereed)
Abstract [en]

Networking solutions for the Internet of Things aretypically designed for applications that require low data rates andfeature rare transmission events. The initial assumption leads to asystem design towards minimal data transfers and packet sizes.However, this can become a challenge, if applications requiredifferent traffic patterns or cooperative interaction betweendevices. Applications requiring a high sampling rate to capturethe desired phenomenon produce larger amounts of data thatneed to be transported. In this paper, we present a studyhighlighting some of the challenging aspects for such applicationsand how the choice of communication technology can limit bothapplication behavior and network structure.

National Category
Embedded Systems
Identifiers
urn:nbn:se:miun:diva-34708 (URN)10.24355/dbbs.084-201809121401-1 (DOI)
Conference
GI/ITG KuVS Fachgespräch Sensornetze – FGSN 2018
Available from: 2018-10-12 Created: 2018-10-12 Last updated: 2018-10-23Bibliographically 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
Show others...
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)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.
Available from: 2018-10-05 Created: 2018-10-05 Last updated: 2018-12-10Bibliographically 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)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
Available from: 2017-12-07 Created: 2017-12-07 Last updated: 2018-01-26Bibliographically approved
Shallari, I., Imran, M., O'Nils, M. & Lawal, N. (2017). Evaluating Pre-Processing Pipelines for Thermal-Visual Smart Camera. In: Proceedings of the 11th International Conference on Distributed Smart Cameras: . Paper presented at 11th International Conference on Distributed Smart Cameras, Stanford University, Stanford; United States; 5 September 2017 through 7 September 2017 (pp. 95-100). ACM Digital Library, F132201
Open this publication in new window or tab >>Evaluating Pre-Processing Pipelines for Thermal-Visual Smart Camera
2017 (English)In: Proceedings of the 11th International Conference on Distributed Smart Cameras, ACM Digital Library, 2017, Vol. F132201, p. 95-100Conference paper, Published paper (Refereed)
Abstract [en]

Smart camera systems integrating multi-model image sensors provide better spectral sensitivity and hence better pass-fail decisions. In a given vision system, pre-processing tasks have a ripple effect on output data and pass-fail decision of high level tasks such as feature extraction, classification and recognition. In this work, we investigated four pre-processing pipelines and evaluated the effect on classification accuracy and output transmission data. The pre-processing pipelines processed four types of images, thermal grayscale, thermal binary, visual and visual binary. The results show that the pre-processing pipeline, which transmits visual compressed Region of Interest (ROI) images, offers 13 to 64 percent better classification accuracy as compared to thermal grayscale, thermal binary and visual binary. The results show that visual raw and visual compressed ROI with suitable quantization matrix offers similar classification accuracy but visual compressed ROI offers up to 99 percent reduced communication data as compared to visual ROI.

Place, publisher, year, edition, pages
ACM Digital Library, 2017
Keywords
Thermal imaging, FPGA, intelligence partitioning
National Category
Embedded Systems
Identifiers
urn:nbn:se:miun:diva-32437 (URN)10.1145/3131885.3131908 (DOI)2-s2.0-85038877488 (Scopus ID)978-1-4503-5487-5 (ISBN)
Conference
11th International Conference on Distributed Smart Cameras, Stanford University, Stanford; United States; 5 September 2017 through 7 September 2017
Projects
SMART
Funder
Knowledge Foundation
Available from: 2017-12-13 Created: 2017-12-13 Last updated: 2018-01-30Bibliographically approved
Organisations

Search in DiVA

Show all publications