Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs

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...

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Bibliographic Details
Published in2010 18th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines pp. 11 - 18
Main Authors Hefenbrock, Daniel, Oberg, Jason, Nhat Thanh, Kastner, Ryan, Baden, Scott B
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2010
Subjects
Acceleration
Algorithm design and analysis
Application software
Application specific integrated circuits
Costs
Face detection
Field Programmable Gate Array
Field programmable gate arrays
Graphical Processing Unit
Hardware
Object detection
Timing
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ISBN9781424471423
0769540562
9780769540566
1424471427
DOI10.1109/FCCM.2010.12

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Summary: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.
ISBN:9781424471423
0769540562
9780769540566
1424471427
DOI:10.1109/FCCM.2010.12