IS = { zkontrolovano 24 Jan 2014 },
  UPDATE  = { 2013-11-21 },
  author =	 {Sychrovsk{\'y}, Ond{\v r}ej and Matou{\v s}ek, Martin and
                  {\v S}{\'a}ra, Radim},
  title =	 {{FPGA}-Accelerated Sliding Window Classifier with Structured
  year =	 {2013},
  pages =	 {1-4},
  booktitle =	 {FPL 2013: Proceedings of the 23rd International Conference
                  on Field Programmable Logic and Applications},
  editor =	 {Cardoso, Jo\~ao M. P. and Morrow, Katherine (Compton) and
                  Dini, Pedro C.},
  publisher =	 {IEEE},
  address =	 {Piscataway, USA},
  %isbn =	 {978-1-4799-0004-6/13},
  isbn =	 {978-1-4799-0004-6},
  book_pages =	 {570},
  month =	 {September},
  day =		 {2-4},
  venue =	 {Porto, Portugal},
  annote =	 {Certain classification tasks in computer vision require the
                  classifier response to be computed in every pixel of an
                  image. When combined with large, complex features, it
                  becomes challenging to build such a classifier on a standard
                  PC architecture and achieve real-time performance. We
                  present an FPGA implementation of a car wheel classifier
                  response computation, built as an instantiation of a generic
                  classification system. An interesting optimization problem
                  concerning performance and speed is addressed. Our
                  implementation is running in real-time as a part of a more
                  complex collision mitigation system based on car detection
                  in video data.},
  keywords =	 {computer vision, object detection, FPGA},
  prestige =	 {international},
  authorship =	 {50-40-10},
  project =	 {FP7-ICT-246587 INTERACTIVE},
  doi =		 {10.1109/FPL.2013.6645560},
  acceptance_ratio ={23\%},