Embedded vision systems: A review of the literature

BHOWMIK, Deepayan and APPIAH, Kofi (2018). Embedded vision systems: A review of the literature. In: 14th International Symposium on Applied Reconfigurable Computing (ARC), Santorini, Greece, 2-4 May 2018.

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Over the past two decades, the use of low power Field Programmable Gate Arrays (FPGA) for the acceleration of various vision systems mainly on embedded devices have become widespread. The reconfigurable and parallel nature of the FPGA opens up new opportunities to speed-up computationally intensive vision and neural algorithms on embedded and portable devices. This paper presents a comprehensive review of embedded vision algorithms and applications over the past decade. The review will discuss vision based systems and approaches, and how they have been implemented on embedded devices. Topics covered include image acquisition, preprocessing, object detection and tracking, recognition as well as high-level classification. This is followed by an outline of the advantages and disadvantages of the various embedded implementations. Finally, an overview of the challenges in the field and future research trends are presented. This review is expected to serve as a tutorial and reference source for embedded computer vision systems.

Item Type: Conference or Workshop Item (Paper)
Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
Depositing User: Deepayan Bhowmik
Date Deposited: 23 Mar 2018 11:10
Last Modified: 18 Mar 2021 13:25
URI: https://shura.shu.ac.uk/id/eprint/18576

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