IEEE INFOCOM 2014 - IEEE Conference on Computer Communications 2014
DOI: 10.1109/infocom.2014.6848007
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Montage: Combine frames with movement continuity for realtime multi-user tracking

Abstract: Abstract-In this work we design and develop Montage for real-time multi-user formation tracking and localization by offthe-shelf smartphones. Montage achieves submeter-level tracking accuracy by integrating temporal and spatial constraints from user movement vector estimation and distance measuring. In Montage we designed a suite of novel techniques to surmount a variety of challenges in real-time tracking, without infrastructure and fingerprints, and without any a priori user-specific (e.g., stride-length and… Show more

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Cited by 22 publications
(3 citation statements)
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References 28 publications
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“…Doing the site survey repetitively and applying appropriate learning approaches solve this problem despite of its complexity in terms of time consumption. Fresh RSS measurements can be taken to adapt the radio map by deploying fixed reference ANs [103]- [106]. Hence, location service is enhanced with high quality when the radio map is always updated through learning.…”
Section: A Learning and Environmental Mappingmentioning
confidence: 99%
“…Doing the site survey repetitively and applying appropriate learning approaches solve this problem despite of its complexity in terms of time consumption. Fresh RSS measurements can be taken to adapt the radio map by deploying fixed reference ANs [103]- [106]. Hence, location service is enhanced with high quality when the radio map is always updated through learning.…”
Section: A Learning and Environmental Mappingmentioning
confidence: 99%
“…Our platform needs to develop new methods that can successfully address these dynamics. Possible solutions are to incorporate a distance estimation module to estimate the distance between two devices, e.g., the method in [32], incorporate a light-weighted efficient gaze tracking using eye-camera only.…”
Section: Discussion and Open Issuesmentioning
confidence: 99%
“…Different measurements [19], [27], [28] such as vision [29], [39], acoustic, RF etc., can be combined together to acquire the positioning information.…”
Section: Hybrid Measurementsmentioning
confidence: 99%