Speeding up Viola–Jones Algorithm using Multi–Core GPU Implementation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU104507" target="_blank" >RIV/00216305:26220/13:PU104507 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/TSP.2013.6614050" target="_blank" >http://dx.doi.org/10.1109/TSP.2013.6614050</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2013.6614050" target="_blank" >10.1109/TSP.2013.6614050</a>
Alternative languages
Result language
angličtina
Original language name
Speeding up Viola–Jones Algorithm using Multi–Core GPU Implementation
Original language description
Graphic Processing Units (GPUs) offer cheap and high-performance computation capabilities by offloading compute-intensive portions of the application to the GPU, while the remainder of the code still runs on a CPU. This paper introduces an multi–GPU CUDA implementation of training of object detection using Viola–Jones algorithm that has accelerated of two the most time consuming operations in training process by using two dual–core NVIDIA GeForce GTX 690. When compared to single thread implementation on Intel Core i7 3770 with 3.7GHz frequency, the first accelerated part of training process was speeded up 151 times and the second accelerated part was speeded up 124 times using two dual–core GPUs. This paper examines overall computational time of the Viola–Jones training process with the use of: one core CPU, one GPU, two GPUs, 3GPUs and 4GPUs. Trained detector was applied on testing set containing real world images.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/FR-TI4%2F151" target="_blank" >FR-TI4/151: Research and development of technology for machine emotion detection in unstructured data</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
36th International Conference on Telecommunications and Signal processing
ISBN
978-1-4799-0402-0
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
808-812
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Rome
Event date
Jul 2, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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