Complexity Analysis of Vision Functions for Comparison of Wireless Smart Cameras
There are a number of challenges caused by the large amount of data and limited resources such as memory, processing capability, energy consumption, and bandwidth, when implementing vision systems on wireless smart cameras using embedded platforms. It is usual for research in this field to focus on...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2014-01-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/710685 |
| _version_ | 1797709347631923200 |
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| author | Muhammad Imran Khursheed Khursheed Naeem Ahmad Mattias O'Nils Najeem Lawal Malik A. Waheed |
| author_facet | Muhammad Imran Khursheed Khursheed Naeem Ahmad Mattias O'Nils Najeem Lawal Malik A. Waheed |
| author_sort | Muhammad Imran |
| collection | DOAJ |
| description | There are a number of challenges caused by the large amount of data and limited resources such as memory, processing capability, energy consumption, and bandwidth, when implementing vision systems on wireless smart cameras using embedded platforms. It is usual for research in this field to focus on the development of a specific solution for a particular problem. There is a requirement for a tool which facilitates the complexity estimation and comparison of wireless smart camera systems in order to develop efficient generic solutions. To develop such a tool, we have presented, in this paper, a complexity model by using a system taxonomy. In this model, we have investigated the arithmetic complexity and memory requirements of vision functions with the help of system taxonomy. To demonstrate the use of the proposed model, a number of actual systems are analyzed in a case study. The complexity model, together with system taxonomy, is used for the complexity estimation of vision functions and for a comparison of vision systems. After comparison, the systems are evaluated for implementation on a single generic architecture. The proposed approach will assist researchers in benchmarking and will assist in proposing efficient generic solutions for the same class of problems with reduced design and development costs. |
| first_indexed | 2024-03-12T06:35:10Z |
| format | Article |
| id | doaj.art-80832c203af5485a94520129fc4567a0 |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T06:35:10Z |
| publishDate | 2014-01-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-80832c203af5485a94520129fc4567a02023-09-03T01:21:19ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772014-01-011010.1155/2014/710685710685Complexity Analysis of Vision Functions for Comparison of Wireless Smart CamerasMuhammad ImranKhursheed KhursheedNaeem AhmadMattias O'NilsNajeem LawalMalik A. WaheedThere are a number of challenges caused by the large amount of data and limited resources such as memory, processing capability, energy consumption, and bandwidth, when implementing vision systems on wireless smart cameras using embedded platforms. It is usual for research in this field to focus on the development of a specific solution for a particular problem. There is a requirement for a tool which facilitates the complexity estimation and comparison of wireless smart camera systems in order to develop efficient generic solutions. To develop such a tool, we have presented, in this paper, a complexity model by using a system taxonomy. In this model, we have investigated the arithmetic complexity and memory requirements of vision functions with the help of system taxonomy. To demonstrate the use of the proposed model, a number of actual systems are analyzed in a case study. The complexity model, together with system taxonomy, is used for the complexity estimation of vision functions and for a comparison of vision systems. After comparison, the systems are evaluated for implementation on a single generic architecture. The proposed approach will assist researchers in benchmarking and will assist in proposing efficient generic solutions for the same class of problems with reduced design and development costs.https://doi.org/10.1155/2014/710685 |
| spellingShingle | Muhammad Imran Khursheed Khursheed Naeem Ahmad Mattias O'Nils Najeem Lawal Malik A. Waheed Complexity Analysis of Vision Functions for Comparison of Wireless Smart Cameras International Journal of Distributed Sensor Networks |
| title | Complexity Analysis of Vision Functions for Comparison of Wireless Smart Cameras |
| title_full | Complexity Analysis of Vision Functions for Comparison of Wireless Smart Cameras |
| title_fullStr | Complexity Analysis of Vision Functions for Comparison of Wireless Smart Cameras |
| title_full_unstemmed | Complexity Analysis of Vision Functions for Comparison of Wireless Smart Cameras |
| title_short | Complexity Analysis of Vision Functions for Comparison of Wireless Smart Cameras |
| title_sort | complexity analysis of vision functions for comparison of wireless smart cameras |
| url | https://doi.org/10.1155/2014/710685 |
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