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2010 18th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines
Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs
Charlotte, North Carolina, USA
May 02-May 04
ISBN: 978-0-7695-4056-6
| ASCII Text | x | ||
| Daniel Hefenbrock, Jason Oberg, Nhat Tan Nguyen Thanh, Ryan Kastner, Scott B. Baden, "Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs," Field-Programmable Custom Computing Machines, Annual IEEE Symposium on, pp. 11-18, 2010 18th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2010. | |||
| BibTex | x | ||
| @article{ 10.1109/FCCM.2010.12, author = {Daniel Hefenbrock and Jason Oberg and Nhat Tan Nguyen Thanh and Ryan Kastner and Scott B. Baden}, title = {Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs}, journal ={Field-Programmable Custom Computing Machines, Annual IEEE Symposium on}, volume = {0}, year = {2010}, isbn = {978-0-7695-4056-6}, pages = {11-18}, doi = {http://doi.ieeecomputersociety.org/10.1109/FCCM.2010.12}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Field-Programmable Custom Computing Machines, Annual IEEE Symposium on TI - Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs SN - 978-0-7695-4056-6 SP11 EP18 A1 - Daniel Hefenbrock, A1 - Jason Oberg, A1 - Nhat Tan Nguyen Thanh, A1 - Ryan Kastner, A1 - Scott B. Baden, PY - 2010 KW - Graphical Processing Unit KW - Face Detection KW - Field Programmable Gate Array KW - Acceleration VL - 0 JA - Field-Programmable Custom Computing Machines, Annual IEEE Symposium on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FCCM.2010.12
Face detection is an important aspect for biometrics, video surveillance and human computer interaction. We present a multi-GPU implementation of the Viola-Jones face detection algorithm that meets the performance of the fastest known FPGA implementation. The GPU design offers far lower development costs, but the FPGA implementation consumes less power. We discuss the performance programming required to realize our design, and describe future research directions.
Index Terms:
Graphical Processing Unit, Face Detection, Field Programmable Gate Array, Acceleration
Citation:
Daniel Hefenbrock, Jason Oberg, Nhat Tan Nguyen Thanh, Ryan Kastner, Scott B. Baden, "Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs," fccm, pp.11-18, 2010 18th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2010
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