Tracking Group Movement in Location Based Social Networks-Reference-Cited by-同舟云学术

Tracking Group Movement in Location Based Social Networks

Published:2020-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th International Conference on Advances in Geographic Information Systems
language:
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Author:

Kannangara Sameera¹,Xie Hairuo¹,Tanin Egemen¹,Harwood Aaron¹,Karunasekera Shanika¹

Affiliation:

1. School of Computing and Information Systems, The University of Melbourne

Funder

The Defence Science and Technology Group, Edinburgh, South Australia.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3397536.3422211

Reference20 articles.

1. Mobility episode detection from CDR's data using switching Kalman filter

2. A framework for integrating multi-accuracy spatial data in geographical applications

3. Canonical Problem: Localization and Tracking. In Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises, 4th Edition. John Wiley and Sons Inc;Brown Robert Grover;Chapter,2012

4. Public behavior response analysis in disaster events utilizing visual analytics of microblog data

5. Xi Chen Xiao Wang and Jianhua Xuan. 2018. Tracking Multiple Moving Objects Using Unscented Kalman Filtering Techniques. CoRR abs/1802.01235 (2018). Xi Chen Xiao Wang and Jianhua Xuan. 2018. Tracking Multiple Moving Objects Using Unscented Kalman Filtering Techniques. CoRR abs/1802.01235 (2018).

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