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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
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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