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Author Dan Xie ♦ Tingxin Yan ♦ Ganesan, D. ♦ Hanson, A.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2008
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Wireless sensor networks ♦ Image recognition ♦ Memory assistant ♦ Senior citizens ♦ Object detection ♦ Medical services ♦ Cameras ♦ Energy efficiency ♦ Robustness ♦ Object recognition ♦ Biomedical monitoring
Abstract This paper presents the design and implementation of a dual-camera sensor network that can be used as a memory assistant tool for assisted living. Our system performs energy-efficient object detection and recognition of commonly misplaced objects. The novelty in our approach is the ability to tradeoff between recognition accuracy and computational efficiency by employing a combination of low complexity but less precise color histogram-based image recognition together with more complex image recognition using SIFT descriptors. In addition, our system can seamlessly integrate feedback from the user to improve the robustness of object recognition. Experimental results reveal that our system is computation-efficient and adaptive to slow changes of environmental conditions.
Description Author affiliation: Dept. of Comput. Sci., Univ. of Massachusetts, Amherst, MA (Dan Xie; Tingxin Yan; Ganesan, D.; Hanson, A.)
ISBN 9780769531571
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2008-04-22
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 902.39 kB
Page Count 12
Starting Page 469
Ending Page 480


Source: IEEE Xplore Digital Library