Conference Proceeding

Embedded Vision Systems: A Review of the Literature


Bhowmik D & Appiah K (2018) Embedded Vision Systems: A Review of the Literature. In: Applied Reconfigurable Computing. Architectures, Tools, and Applications. Lecture Notes in Computer Science, 10824. International Symposium on Applied Reconfigurable Computing ARC 2018, Santorini, Greece, 02.05.2018-04.05.2018. Cham, Switzerland: Springer International Publishing, pp. 204-216.

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.

FundersSheffield Hallam University
Title of seriesLecture Notes in Computer Science
Number in series10824
Publication date31/12/2018
Publication date online08/04/2018
PublisherSpringer International Publishing
Place of publicationCham, Switzerland
ISSN of series0302-9743
ConferenceInternational Symposium on Applied Reconfigurable Computing ARC 2018
Conference locationSantorini, Greece

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