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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
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" }