Conference paper

ZEMČÍK Pavel, JURÁNEK Roman, MUSIL Martin, MUSIL Petr and HRADIŠ Michal. High Performance Architecture for Object Detection in Streamed Videos. In: Proceedings of FPL 2013. Porto: IEEE Circuits and Systems Society, 2013, pp. 1-4. ISBN 978-1-4799-0004-6. Available from: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6645559
Publication language:english
Original title:High Performance Architecture for Object Detection in Streamed Videos
Title (cs):Architektura pro detekci objektů ve streamovaném videu
Pages:1-4
Proceedings:Proceedings of FPL 2013
Conference:23th International Conference on Field Programmable Logic and Applications
Place:Porto, PT
Year:2013
URL:http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6645559
ISBN:978-1-4799-0004-6
DOI:10.1109/FPL.2013.6645559
Publisher:IEEE Circuits and Systems Society
Keywords
Object Detection, FPGA, LRD, LBP, Streamed Video
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   author = {Pavel Zem{\v{c}}{\'{i}}k and Roman Jur{\'{a}}nek and Martin
	Musil and Petr Musil and Michal Hradi{\v{s}}},
   title = {High Performance Architecture for Object Detection in
	Streamed Videos},
   pages = {1--4},
   booktitle = {Proceedings of FPL 2013},
   year = {2013},
   location = {Porto, PT},
   publisher = {IEEE Circuits and Systems Society},
   ISBN = {978-1-4799-0004-6},
   doi = {10.1109/FPL.2013.6645559},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10390}
}

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