Ontology-aided feature correlation for multi-modal urban sensing

Ontology-aided feature correlation for multi-modal urban sensing

The paper explores the use of correlation across features extracted from different sensing channels to help in urban situational understanding. We use real-world datasets to show how such correlation can improve the accuracy of detection of city-wide events by combining metadata analysis with image...

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Bibliographic Details
Main Authors: MISRA, Archan, LANTRA, Zaman, JAYARAJAH, Kasthuri
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
Subjects:
Event Detection
Information Fusion
Multi-Modal Sensing
Asian Studies
Environmental Sciences
Numerical Analysis and Scientific Computing
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/3582
https://ink.library.smu.edu.sg/context/sis_research/article/4583/viewcontent/Ontology_aided_SPIE2016_av.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/3582
https://ink.library.smu.edu.sg/context/sis_research/article/4583/viewcontent/Ontology_aided_SPIE2016_av.pdf

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