NDLI: A novel embedded system for vision tracking

Content Provider	IEEE Xplore Digital Library
Author	Nikitakis, A. Paganos, T. Papaefstathiou, I.
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. & Comput. Eng., Tech. Univ. of Crete, Chania, Greece (Nikitakis, A.; Paganos, T.) \|\| Synelixis Solutions Ltd., Chalkida, Greece (Papaefstathiou, I.)
Abstract	One of the most important challenges in the field of Computer Vision is the implementation of low-power embedded systems that will execute very accurate, yet real-time, algorithms. In the visual tracking sector one of the most promising approaches is the recently introduced OpenTLD algorithm which uses a random forest classification method. While it is very robust, it cannot be efficiently parallelized in its native form as its memory access pattern has certain characteristics that make it hard to take advantage of the conventional memory hierarchies. In this paper, we present a novel embedded system implementing this algorithm. We accelerate the bottleneck of the algorithm by designing and implementing a high bandwidth distributed memory sub-system which is independent of the various software parameters. We demonstrate the applicability and efficiency of this novel approach by implementing our scheme in a modern FPGA.
Starting Page	1
Ending Page	4
File Size	933290
Page Count	4
File Format	PDF
ISBN	9783981537024
DOI	10.7873/DATE.2014.353
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-24
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	European Design Automation Association (EDAA)
Subject Keyword	Hardware Graphics processing units Classification algorithms Field programmable gate arrays Embedded systems Algorithm design and analysis Computer architecture FPGA Embedded System Object Tracking Distributed Memory Random Forests Classification
Content Type	Text
Resource Type	Article

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