Compressive Sensing-based Target Tracking for Wireless Visual Sensor Networks

Book chapter


Fayed, Salema, Youssef, Sherin, El-Helw, Amr, Patwary, Mohammad and Moniri, M. 2014. Compressive Sensing-based Target Tracking for Wireless Visual Sensor Networks. in: Advances in Information Science and Applications, Volume I: Proceedings of the 18th International Conference on Computers (part of CSCC '14) Institute for Natural Sciences and Engineering (INASE).
AuthorsFayed, Salema, Youssef, Sherin, El-Helw, Amr, Patwary, Mohammad and Moniri, M.
Abstract

Limited storage, channel bandwidth, and battery lifetime are
the main concerns when dealing with Wireless Visual Sensor Networks
(WVSNs). Surveillance application for WVSNs is one of the important
applications that requires high detection reliability and robust tracking, while
minimizing the usage of energy as visual sensor nodes can be left for months
without any human interaction. In surveillance applications, within WVSN,
only single view target tracking is achieved to keep minimum number of visual
sensor nodes in a ’wake-up’ state to optimize the use of nodes and save battery
life time, which is limited in WVSNs. Least Mean square (LMS) adaptive
filter is used for tracking to estimate target’s next location. Moreover, WVSNs
retrieve large data sets such as video, and still images from the environment
requiring high storage and high bandwidth for transmission which are limited.
Hence, suitable representation of data is needed to achieve energy efficient
wireless transmission and minimum storage. In this paper, the impact of CS is
investigated in designing target detection and tracking techniques for WVSNs-
based surveillance applications, without compromising the energy constraint
which is one of the main characteristics of WVSNs. Results have shown that
with compressive sensing (CS) up to 31
%
measurements of data are required
to be transmitted, while preserving the detection and tracking accuracy which
is measured through comparing targets trajectory tracking.

Book titleAdvances in Information Science and Applications, Volume I: Proceedings of the 18th International Conference on Computers (part of CSCC '14)
Year2014
PublisherInstitute for Natural Sciences and Engineering (INASE)
Publication dates
Print21 Jul 2014
Publication process dates
Deposited22 Aug 2017
Series Recent Advances in Computer Engineering
Event18th International Conference on Computers (part of CSCC '14)
ISBN978-1-61804-236-1
ISSN: 1790-5109
Web address (URL)http://www.inase.org/library/2014/santorini/bypaper/COMPUTERS/COMPUTERS1-03.pdf
Journal citation1, pp. 44-50
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