Title :
Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs
Author :
Hefenbrock, Daniel ; Oberg, Jason ; Thanh, Nhat Tan Nguyen ; Kastner, Ryan ; Baden, Scott B.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of California, San Diego, La Jolla, CA, USA
Abstract :
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.
Keywords :
computer graphic equipment; coprocessors; face recognition; field programmable gate arrays; object detection; FPGA-level; GPU design; Viola-Jones face detection; biometrics; human computer interaction; multiGPU implementation; video surveillance; Acceleration; Algorithm design and analysis; Application software; Application specific integrated circuits; Costs; Face detection; Field programmable gate arrays; Hardware; Object detection; Timing; Acceleration; Face Detection; Field Programmable Gate Array; Graphical Processing Unit;
Conference_Titel :
Field-Programmable Custom Computing Machines (FCCM), 2010 18th IEEE Annual International Symposium on
Conference_Location :
Charlotte, NC
Print_ISBN :
978-0-7695-4056-6
Electronic_ISBN :
978-1-4244-7143-0
DOI :
10.1109/FCCM.2010.12
