Szczegóły publikacji
Opis bibliograficzny
Hardware-software abandoned object detection vision system in heterogeneous Zynq device / Tomasz KRYJAK, Artur Skirzyński, Marek GORGOŃ // W: dasip 2017 [Dokument elektroniczny] : conference on Design and Architectures for Signal and Image Processing : September 27–29, 2017, Dresden. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, cop. 2017. — Dysk Flash. — W bazie Web of Science seria: Conference on Design and Architectures for Signal and Image Processing ; ISSN 2164-9766. — e-ISBN: 978-1-5386-3534-6. — S. [1–2]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [2], Abstr.
Autorzy (3)
Dane bibliometryczne
| ID BaDAP | 109748 |
|---|---|
| Data dodania do BaDAP | 2017-11-23 |
| DOI | 10.1109/DASIP.2017.8122122 |
| Rok publikacji | 2017 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Konferencja | Conference on Design and Architectures for Signal and Image Processing |
Abstract
In this paper a hardware-software abandoned object detection vision system implemented in the Zynq SoC (System on Chip) device is presented. First, the solution was implemented in C++ and run as a bare metal application on the ARM processor core of the Zynq (using floating and fixed-point computations). For the target video stream 1280× 720 @ 50 fps (74.25 MHz pixel clock) it reached only 2 fps. Therefore, to speed-up the application, it was decided to move some of the image processing and analysis operations to the programmable logic. This allowed to obtain real-time image processing i.e. 50 fps, with power consumption of less than 4W. © 2017 IEEE.
