scholarly journals Adaptive compressive sensing for target tracking within wireless visual sensor networks-based surveillance applications

2015 ◽  
Vol 75 (11) ◽  
pp. 6347-6371 ◽  
Author(s):  
Salema Fayed ◽  
Sherin M.Youssef ◽  
Amr El-Helw ◽  
Mohammad Patwary ◽  
Mansour Moniri
Keyword(s):  
Sensor Networks ◽  
Compressive Sensing ◽  
Target Tracking ◽  
Visual Sensor ◽  
Visual Sensor Networks ◽  
Wireless Visual Sensor Networks ◽  
Surveillance Applications

Energy Efficiency and Reliability Considerations of a Compressive Sensing Technique in Wireless Visual Sensor Networks

2011 ◽  
pp. 21-39
Author(s):  
Yinhao Ding ◽  
Cheng-Chew Lim
Keyword(s):  
Energy Efficiency ◽  
Sensor Networks ◽  
Compressive Sensing ◽  
Visual Sensor ◽  
Haar Wavelet Transform ◽  
Visual Sensor Networks ◽  
Wireless Visual Sensor Networks ◽  
The Difference ◽  
Block Based ◽  
Efficiency And Reliability

This chapter focuses on the energy efficiency and reliability issues when applying the novel compressive sensing technique in wireless visual sensor networks. An explanation is given for why compressive sensing is useful for visual sensor networks. The relationships between sparsity control and compression ratio, the effect of block-based sampling on reconstruction quality, complexity consideration of reconstruction process for real-time applications, and compensation for packets missing in network flows are discussed. We analyse the effectiveness of using the 2-dimensional Haar wavelet transform for sparsity control, the difference between compressive sampling in spatial and frequency domains, and the computation of the prime-dual optimisation method and the log barrier algorithm for reconstruction. The effectiveness of the approach on recovered image quality is evaluated using Euclidean distance and variance analysis.

scholarly journals Analytical framework for adaptive compressive sensing for target detection within wireless visual sensor networks

2017 ◽  
Vol 77 (13) ◽  
pp. 16533-16559 ◽  
Author(s):  
Salema Fayed ◽  
Sherin M. Youssef ◽  
Amr El-Helw ◽  
Mohammad Patwary ◽  
Mansour Moniri
Keyword(s):  
Sensor Networks ◽  
Compressive Sensing ◽  
Target Detection ◽  
Analytical Framework ◽  
Visual Sensor ◽  
Visual Sensor Networks ◽  
Wireless Visual Sensor Networks

scholarly journals Target Tracking in Wireless Visual Sensor Networks: Challenges, Steps, and Metrics of Evaluation

2021 ◽  
Vol 12 (5) ◽  
pp. 1037-1043
Author(s):  
Afaf Mosaif, Et. al.
Keyword(s):  
Sensor Networks ◽  
Target Tracking ◽  
Smart Cities ◽  
Field Of View ◽  
Visual Sensor ◽  
Visual Sensor Networks ◽  
Visual Sensors ◽  
Area Of Interest ◽  
Wide Range ◽  
Wireless Visual Sensor Networks

In recent years, wireless sensor networks have been used in a wide range of applications such as smart cities, military, and environmental monitoring. Target tracking is one of the most interesting applications in this area of research, which mainly consists of detecting the targets that move in the area of interest and monitoring their motions. However, tracking a target using visual sensors is different and more difficult than that of scalar sensors due to the special characteristics of visual sensors, such as their directional limited field of view, and the nature and amount of the sensed data. In this paper, we first present the challenges of detection and target tracking in wireless visual sensor networks, then we propose a scheme that describes the basic steps of target tracking in these networks, we focus then on the tracking across camera nodes by presenting some metrics that can be considered when designing and evaluating this type of tracking approaches.

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