NDLI: Faster and more intelligent object detection by combining OpenCL and KR

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Faster and more intelligent object detection by combining OpenCL and KR

Content Provider	Springer Nature Link
Author	De Smedt, Floris Struyf, Lars Beckers, Sander Vennekens, Joost De Samblanx, Gorik Goedemé, Toon
Copyright Year	2013
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.
Starting Page	635
Ending Page	643
Page Count	9
File Format	PDF
ISSN	18685137
Journal	Journal of Ambient Intelligence and Humanized Computing
Volume Number	5
Issue Number	5
e-ISSN	18685145
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-07-03
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	OpenCL Data parallelism Part based object detection Knowledge representation Computational Intelligence Artificial Intelligence (incl. Robotics) Robotics and Automation User Interfaces and Human Computer Interaction
Content Type	Text
Resource Type	Article
Subject	Computer Science

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