ITEM METADATA RECORD
Title: Faster and more intelligent object detection by combining OpenCL and KR
Authors: De Smedt, Floris ×
Struyf, Lars
Beckers, Sander
De Samblanx, Gorik
Vennekens, Joost
Goedemé, Toon #
Issue Date: Oct-2014
Publisher: Springer
Series Title: Journal of Ambient Intelligence and Humanized Computing vol:5 issue:5 pages:635-643
Abstract: In this paper we present a fast implementation of a robust object detector by using OpenCL. The use of fast object detection is of great use for a broad range of applications in multiple domains. OpenCL allows for scalability to more performant and different types of hardware, with minimal changes to the implementation. By using a GPU as execution device, we exploit the data parallelism opportunities of the algorithm. We also discuss the use of knowledge representation as a means to integrate expert knowledge into applications. This can be used both for faster processing by limiting the searching space, and for applications to work more autonomous by exploiting a higher level of intelligence.
ISSN: 1868-5137
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Electrical Engineering (ESAT) TC, Technology Campus De Nayer Sint-Katelijne-Waver
Technologiecluster ESAT Elektrotechnische Engineering
EmSys | Embedded Systemen - TMMA
Informatics Section
Computer Science Technology TC, Technology Campus De Nayer Sint-Katelijne-Waver
Technologiecluster Computerwetenschappen
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
Faster and more intelligent object detection by combining OpenCL and KR - Online First - Springer.pdf Accepted 358KbAdobe PDFView/Open Request a copy

These files are only available to some KU Leuven Association staff members

 




All items in Lirias are protected by copyright, with all rights reserved.

© Web of science