Design Of A Wireless Vision Sensor For Object Tracking In Wireless Vision
Sensor Networks
- doi: 10.1109/ICDSC.2008.4635736
-
title: Design of a Wireless Vision Sensor for object
tracking in Wireless Vision Sensor Networks
- publisher: IEEE
- isbn: 978-1-4244-2665-2
- issn:
- partnum: 08EX2446
- rank: 2174
- access_type: LOCKED
- content_type: Conferences
-
abstract: The integration of CMOS cameras with embedded
processors and wireless communication devices has enabled the
development of distributed wireless vision systems. Wireless Vision
Sensor Networks (WVSNs), which consist of wirelessly connected embedded
systems with vision and sensing capabilities, provide wide variety of
application areas that have not been possible to realize with the
wall-powered vision systems with wired links or scalar-data based
wireless sensor networks. In this paper, the design of a middleware for
a wireless vision sensor node is presented for the realization of WVSNs.
The implemented wireless vision sensor node is tested through a simple
vision application to study and analyze its capabilities, and determine
the challenges in distributed vision applications through a wireless
network of low-power embedded devices. The results of this paper
highlight the practical concerns for the development of efficient image
processing and communication solutions for WVSNs and emphasize the need
for cross-layer solutions that unify these two so-far-independent
research areas.
- article_number: 4635736
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4635736
-
html_url:
https://ieeexplore.ieee.org/document/4635736/
-
abstract_url:
https://ieeexplore.ieee.org/document/4635736/
-
publication_title: 2008 Second ACM/IEEE International
Conference on Distributed Smart Cameras
- conference_location: Palo Alto, CA, USA
- conference_dates: 7-11 Sept. 2008
- publication_number: 4629334
- is_number: 4635670
- publication_year: 2008
- publication_date: 7-11 Sept. 2008
- start_page: 1
- end_page: 9
- citing_paper_count: 7
- citing_patent_count: 0
- download_count: 810
- insert_date: 20080930
-
index_terms:
-
author_terms:
- Wireless Vision Sensor Node
- Wireless Vision Sensor Network (WVSN) middleware
- cross-layer design
- foreground detection
- background subtraction
- salient motion
-
dynamic_index_terms:
- Sensor Networks
- Object Tracking
- Vision Sensors
- Image Processing
- Wireless Networks
- Wireless Sensor
- Wireless Sensor Networks
- Vision Applications
- Need For Solutions
- Wireless Sensor Nodes
- Energy Conservation
- Energy-saving
- Accelerometer
- Accelerometry
- Background Subtraction
- Base Station
- Temperature Sensor
- Temporal Differences
- Temporal Deviation
- Communication Protocol
- Network Protocol
- Transmission Protocol
- Consecutive Frames
- Hardware Architecture
- Centroid Location
- Locations Of Centroids
- Sunspot
- Multi-hop Communication
- Serial Communication
- Camera Module
- Network Lifetime
- Datagram
-
isbn_formats:
-
format: CD,
value: 978-1-4244-2665-2,
isbnType: New-2005
-
format: Print ISBN,
value: 978-1-4244-2664-5,
isbnType: New-2005
-
authors:
-
Author Name: Mauricio Casares
Affiliation: Department of Electrical Engineering,
University of Nebraska-Lincoln, Lincoln, NE, USA
Author URL:
https://ieeexplore.ieee.org/author/37643972800
ID: 37643972800
Order: 1
Author Affiliations:
-
Department of Electrical Engineering, University of
Nebraska-Lincoln, Lincoln, NE, USA
-
Author Name: Mehmet Can Vuran
Affiliation: Department of Computer Science and
Engineering, University of Nebraska - Lincoln, 68588, USA
Author URL:
https://ieeexplore.ieee.org/author/37542226300
ID: 37542226300
Order: 2
Author Affiliations:
-
Department of Computer Science and Engineering, University of
Nebraska - Lincoln, 68588, USA
-
Author Name: Senem Velipasalar
Affiliation: Department of Electrical Engineering,
University of Nebraska-Lincoln, Lincoln, NE, USA
Author URL:
https://ieeexplore.ieee.org/author/37398158500
ID: 37398158500
Order: 3
Author Affiliations:
-
Department of Electrical Engineering, University of
Nebraska-Lincoln, Lincoln, NE, USA
Image Sensor
- sensor_type: CMOS
- resolution: varies by application
- dynamic_range: variable
- pixel_size: small (exact size not specified)
- dark_current: not specified
Optical Data
- focal_length: not specified
- aperture: not specified
- field_of_view: not specified
- distortion: not specified
Performance Metrics
- noise: temporal noise, fixed-pattern noise
Applications & Benefits
-
cell_imaging: used in medical devices, surveillance,
etc.
-
benefits: allows for digital imaging in various
applications including smartphones and automotive systems.
Supporting Organizations
-
supported_by: University of Nebraska Foundation, Sun
Microsystems
Manuscript Details
- publication_date: 7-11 Sept. 2008
Relevancy Score
- score: 8
-
missing_fields:
- pixel size
- fill factor
- quantum efficiency
- analog-to-digital conversion
- readout speed
- design considerations
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