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Vol. 224, Issue 8, August 2018, pp. 9-21




Energy Efficient Image-Based Target Recognition Using Fourier Descriptors in Wireless
in Multimedia Sensor Networks

Manal Alsabhan and * Adel Soudani

College of computer and information systems, Department of Computer Sciences, King Saud University, Riyadh, KSA
Tel.: (+966) (114676578)

E-mail: asoudani@ksu.edu.sa


Received: 30 April 2018 /Accepted: 31 July 2018 /Published: 31 August 2018

Digital Sensors and Sensor Sysstems


Abstract: Multimedia communication is highly attractive and desired by many applications due to the wealth of information provided. However, the transmission of image and video data streams needs a specific scheme to meet the limitations of the sensor node. In depth, the performances of multimedia-based applications on WMSN are highly dependent on the capabilities of the designer to provide low-power data processing and energy-aware communication protocols. The compression techniques applied for sensed data required extensive resources and high computational capabilities, which contrary the sensor’s resource constraints explicitly. One of the best ways to reduce the energy consumption per-node and to extend the network lifetime is to use a local event-based sensing approach for the detection of relevant phenomena to be reported to the end user. In this method, the sensor checks whether the image captures the phenomena of interest locally at the sensor node and notifies the remote end user with the transmission of the minimum required data. This work contributes a design for object detection and recognition scheme based on the use of Fourier Descriptors for image feature extraction. This paper is an extended version building on the results already presented in 17. This current paper is an outline the specification of the proposed scheme and its implementation on wireless multimedia sensors. It addresses the performances’ evaluation regarding time and energy consumption. The experimental results reveal the high levels of accuracy of the proposed approach in efficiently recognizing the target and notifying the end user. It shows a significant performance that overcomes the efficiency of similar sensing approaches based on Zernike Moments that have been proposed in the literature.


Keywords: WMSN, Multimedia sensing, Object recognition, Low-power, Fourier descriptors, Zernike moments.


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