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Real-time locating system
Known as:
Real Time Locating
, Locating Engines
, Real Time Locating Systems
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Real-time locating systems (RTLS) are used to automatically identify and track the location of objects or people in real time, usually within a…
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Related topics
Related topics
24 relations
Angle of arrival
Automatic vehicle location
Bluetooth
Context awareness
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Real-Time Locating Systems Using Active RFID for Internet of Things
Daqiang Zhang
,
L. Yang
,
Min Chen
,
Shengjie Zhao
,
M. Guo
,
Yin Zhang
IEEE Systems Journal
2016
Corpus ID: 34893702
The proliferation of the Internet of Things (IoT) has fostered growing attention to real-time locating systems (RTLSs) using…
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Review
2016
Review
2016
Taking the Human Out of the Loop: A Review of Bayesian Optimization
Bobak Shahriari
,
Kevin Swersky
,
Ziyun Wang
,
Ryan P. Adams
,
N. D. Freitas
Proceedings of the IEEE
2016
Corpus ID: 14843594
Big Data applications are typically associated with systems involving large numbers of users, massive complex software systems…
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Highly Cited
2014
Highly Cited
2014
Tagoram: real-time tracking of mobile RFID tags to high precision using COTS devices
Lei Yang
,
Yekui Chen
,
Xiangyang Li
,
Chaowei Xiao
,
Mo Li
,
Yunhao Liu
ACM/IEEE International Conference on Mobile…
2014
Corpus ID: 18244725
In many applications, we have to identify an object and then locate the object to within high precision (centimeter- or…
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Highly Cited
2011
Highly Cited
2011
Real-time human pose recognition in parts from single depth images
J. Shotton
,
T. Sharp
,
+5 authors
R. Moore
Computer Vision and Pattern Recognition
2011
Corpus ID: 7731948
We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no…
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Highly Cited
2004
Highly Cited
2004
Distinctive Image Features from Scale-Invariant Keypoints
D. Lowe
International Journal of Computer Vision
2004
Corpus ID: 221242327
This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable…
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Highly Cited
2000
Highly Cited
2000
Real-time tracking of non-rigid objects using mean shift
D. Comaniciu
,
Visvanathan Ramesh
,
P. Meer
Proceedings IEEE Conference on Computer Vision…
2000
Corpus ID: 559739
A new method for real time tracking of non-rigid objects seen from a moving camera is proposed. The central computational module…
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Highly Cited
1999
Highly Cited
1999
Adaptive background mixture models for real-time tracking
C. Stauffer
,
W. Grimson
Proceedings. IEEE Computer Society Conference on…
1999
Corpus ID: 8195115
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction", or…
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Highly Cited
1996
Highly Cited
1996
Pfinder: real-time tracking of the human body
C. R. Wren
,
A. Azarbayejani
,
Trevor Darrell
,
A. Pentland
Proceedings of the Second International…
1996
Corpus ID: 9458767
Pfinder is a real-time system for tracking and interpretation of people. It runs on a standard SGI Indy computer, and has…
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Highly Cited
1991
Highly Cited
1991
Color indexing
M. Swain
,
D. Ballard
International Journal of Computer Vision
1991
Corpus ID: 8167136
Computer vision is embracing a new research focus in which the aim is to develop visual skills for robots that allow them to…
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Highly Cited
1988
Highly Cited
1988
Cellular neural networks: theory
L. Chua
,
L. Yang
1988
Corpus ID: 56999998
A novel class of information-processing systems called cellular neural networks is proposed. Like neural networks, they are large…
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