NDLI: Adaptive compressive sensing for target tracking within wireless visual sensor networks-based surveillance applications

Content Provider	Springer Nature Link
Author	Fayed, Salema M.Youssef, Sherin El Helw, Amr Patwary, Mohammad Moniri, Mansour
Copyright Year	2015
Abstract	Wireless Visual Sensor Networks (WVSNs) have gained significant importance in the last few years and have emerged in several distinctive applications. The main aim is to design low power WVSN surveillance application using adaptive Compressive Sensing (CS) which is expected to overcome the WVSN resource constraints such as memory limitation, communication bandwidth and battery constraints. In this paper, an adaptive block CS technique is proposed and implemented to represent the high volume of captured images in a way for energy efficient wireless transmission and minimum storage. Furthermore, to achieve energy-efficient target detection and tracking with high detection reliability and robust tracking, to maximize the lifetime of sensor nodes as they can be left for months without any human interactions. Adaptive CS is expected to dynamically achieve higher compression rates depending on the sparsity nature of different datasets, while only compressing relative blocks in the image that contain the target to be tracked instead of compressing the whole image. Hence, saving power and increasing compression rates. Least mean square adaptive filter is used to predicts target’s next location to investigate the effect of CS on the tracking performance. The tracking is achieved in both indoor and outdoor environments for single/multi targets. Results have shown that with adaptive block CS up to 20 % measurements of data are required to be transmitted while preserving the required performance for target detection and tracking.
Starting Page	6347
Ending Page	6371
Page Count	25
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	75
Issue Number	11
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2015-05-07
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Adaptive compressive sensing Compressive sensing LMS Surveillance applications Target tracking WVSN Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Moving people tracking with detection by latent semantic analysis for visual surveillance applications

Information-based adaptive fast-forward for visual surveillance

Robust object tracking based upon adaptive multi-cue integration for video surveillance

Adaptive tensor compressive sensing based on noise estimation: application in three-dimensional images

Data forwarding based on sensor device constraints in wireless multimedia sensor networks

An evolutionary game theory-based channel access mechanism for wireless multimedia sensor network with rate-adaptive applications

Image steganography based on subsampling and compressive sensing

The design of a wireless real-time visual surveillance system

Adaptive Hamiltonian MCMC sampling for robust visual tracking

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

Similar Documents

Moving people tracking with detection by latent semantic analysis for visual surveillance applications

Information-based adaptive fast-forward for visual surveillance

Robust object tracking based upon adaptive multi-cue integration for video surveillance

Adaptive tensor compressive sensing based on noise estimation: application in three-dimensional images

Data forwarding based on sensor device constraints in wireless multimedia sensor networks

An evolutionary game theory-based channel access mechanism for wireless multimedia sensor network with rate-adaptive applications

Image steganography based on subsampling and compressive sensing

The design of a wireless real-time visual surveillance system

Adaptive Hamiltonian MCMC sampling for robust visual tracking

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