Detail publikace

High Performance Architecture for Object Detection in Streamed Videos

ZEMČÍK, P. JURÁNEK, R. MUSIL, M. MUSIL, P. HRADIŠ, M.

Originální název

High Performance Architecture for Object Detection in Streamed Videos

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

In this paper, we introduce a novel architecture of an engine for high performance multi-scale detection of objects in videos based on WaldBoost training algorithm.
The key properties of the architecture include processing of streamed data and low resource consumption. We implemented the engine in FPGA and we show that it can process 640x480 pixel video streams at over 160 fps without the need of external memory. We evaluate the design on the face detection task, compare it to state of the art designs, and discuss its features and limitations.

Klíčová slova

Object Detection, FPGA, LRD, LBP, Streamed Video

Autoři

ZEMČÍK, P.; JURÁNEK, R.; MUSIL, M.; MUSIL, P.; HRADIŠ, M.

Rok RIV

2013

Vydáno

2. 9. 2013

Nakladatel

IEEE Circuits and Systems Society

Místo

Porto

ISBN

978-1-4799-0004-6

Kniha

Proceedings of FPL 2013

Strany od

1

Strany do

4

Strany počet

4

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6645559

BibTex

@inproceedings{BUT103530,
  author="Pavel {Zemčík} and Roman {Juránek} and Martin {Musil} and Petr {Musil} and Michal {Hradiš}",
  title="High Performance Architecture for Object Detection in Streamed Videos",
  booktitle="Proceedings of FPL 2013",
  year="2013",
  pages="1--4",
  publisher="IEEE Circuits and Systems Society",
  address="Porto",
  doi="10.1109/FPL.2013.6645559",
  isbn="978-1-4799-0004-6",
  url="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6645559"
}