Publication detail

High Performance Architecture for Object Detection in Streamed Videos

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

Original Title

High Performance Architecture for Object Detection in Streamed Videos

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

Object Detection, FPGA, LRD, LBP, Streamed Video

Authors

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

RIV year

2013

Released

2. 9. 2013

Publisher

IEEE Circuits and Systems Society

Location

Porto

ISBN

978-1-4799-0004-6

Book

Proceedings of FPL 2013

Pages from

1

Pages to

4

Pages count

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"
}