Result Details

High Performance Architecture for Object Detection in Streamed Videos

ZEMČÍK, P.; JURÁNEK, R.; MUSIL, M.; MUSIL, P.; HRADIŠ, M. High Performance Architecture for Object Detection in Streamed Videos. Proceedings of FPL 2013. Porto: IEEE Circuits and Systems Society, 2013. p. 1-4. ISBN: 978-1-4799-0004-6.
Type
conference paper
Language
English
Authors
Zemčík Pavel, prof. Dr. Ing., dr. h. c., UAMT (FEEC), DCGM (FIT)
Juránek Roman, Ing., Ph.D., DCGM (FIT)
Musil Martin, Ing., Ph.D., DCGM (FIT)
Musil Petr, Ing., Ph.D., DCGM (FIT)
Hradiš Michal, Ing., Ph.D.
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

URL
Published
2013
Pages
1–4
Proceedings
Proceedings of FPL 2013
Conference
23th International Conference on Field Programmable Logic and Applications
ISBN
978-1-4799-0004-6
Publisher
IEEE Circuits and Systems Society
Place
Porto
DOI
10.1109/FPL.2013.6645559
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"
}
Projects
ConstRaint and Application driven Framework for Tailoring Embedded Real-time Systems, MŠMT, Společné technologické iniciativy, 7H12006, start: 2012-06-01, end: 2015-09-30, completed
Tools and Methods for Video and Image Processing for the Fight against Terrorism, MV, Program bezpečnostního výzkumu České republiky 2010 - 2015, VG20102015006, start: 2010-10-01, end: 2015-09-30, completed
V3C - Visual Computing Competence Center, TAČR, Centra kompetence, TE01020415, start: 2012-05-01, end: 2019-12-31, completed
Research groups
Image and Video Processing Research Group (VZ VIDEO)
Departments
Department of Computer Graphics and Multimedia (DCGM)
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