NDLI: Embedded computer vision framework on a multimedia processor

Content Provider	IEEE Xplore Digital Library
Author	Loten, T. Green, R.
Copyright Year	2008
Description	Author affiliation: Electr. & Comput. Eng., Univ. of Canterbury, Christchurch (Loten, T.) \|\| Comput. Sci. & Software Eng., Univ. of Canterbury, Christchurch (Green, R.)
Abstract	In this paper we present a framework for implementing computer vision algorithms on embedded processors using the analog devices Blackfin BF561 processor. This framework is designed to consist of a set of simple functions that allow complex tasks to be performed, such as object tracking or object recognition. Special consideration is given to the methods of optimization that are needed to achieve real-time performance. Given the low cost and low power consumption of embedded devices, the applications for this framework are very widespread and have the potential to be seen in many everyday devices. The completed framework is capable of processing algorithms at 15 frames per second with 24 bit colour, 360 times 240 pixel images which supports this approach as a useful direction for low cost, low power computer vision platforms.
Starting Page	1
Ending Page	5
File Size	374916
Page Count	5
File Format	PDF
ISBN	9781424437801
DOI	10.1109/IVCNZ.2008.4762142
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-26
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	image processing Computer vision Costs Image processing Optimization methods Color Digital cameras Power system security video processing embedded software Blackfin Signal processing algorithms Libraries Power system reliability
Content Type	Text
Resource Type	Article

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