Using integrity constraints to guide the interpretation of RFID-trajectory data
- 10 October 2017
- journal article
- Published by Association for Computing Machinery (ACM) in SIGSPATIAL Special
- Vol. 9 (2), 28-35
- https://doi.org/10.1145/3151123.3151128
Abstract
We discuss an approach for interpreting RFID data in the context of object tracking. It consists in translating the readings generated by RFID-tracked moving objects into semantic locations over a map, by exploiting some integrity constraints. Our approach performs a probabilistic conditioning: it starts from an a-priori probability assigned to the possible trajectories, discards the trajectories that are inconsistent with the constraints, and assigns to the others a suitable probability of being the actual one.Keywords
This publication has 22 references indexed in Scilit:
- Consistency checking and querying in probabilistic databases under integrity constraintsJournal of Computer and System Sciences, 2014
- Offline cleaning of RFID trajectory dataPublished by Association for Computing Machinery (ACM) ,2014
- Reasoning about RFID-tracked moving objects in symbolic indoor spacesPublished by Association for Computing Machinery (ACM) ,2013
- Spatiotemporal Data Cleansing for Indoor RFID Tracking DataPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- RFID-data compression for supporting aggregate queriesACM Transactions on Database Systems, 2013
- An RFID and particle filter-based indoor spatial query evaluation systemPublished by Association for Computing Machinery (ACM) ,2013
- RFID Data AggregationLecture Notes in Computer Science, 2009
- Conditioning probabilistic databasesProceedings of the VLDB Endowment, 2008
- Efficient storage scheme and query processing for supply chain management using RFIDPublished by Association for Computing Machinery (ACM) ,2008
- A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian trackingIEEE Transactions on Signal Processing, 2002