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High-Level Surveillance Event Detection Using an Interval-Based Query Language
Conference proceeding   Peer reviewed

High-Level Surveillance Event Detection Using an Interval-Based Query Language

Sven Helmer and Fabio Persia
2016 IEEE Tenth International Conference on Semantic Computing, 3-5 February 2016, Laguna Hills, California; Proceedings, pp.39-46
IEEE International Conference on Semantic Computing
10th International Conference on Semantic Computing (ICSC 2016) (Laguna Hills, Calif., 04/02/2016 - 06/02/2016)
2016
DOI: https://doi.org/10.1109/ICSC.2016.19
Handle:
https://hdl.handle.net/10863/32448

Abstract

Computer Science, Artificial Intelligence Computer Science, Theory & Methods Engineering, Electrical & Electronic Science & Technology Computer Science Engineering Technology
We propose a language based on relational algebra extended by intervals for detecting high-level surveillance events from a video stream. The operators we introduce for describing temporal constraints are based on the well-known Allen's interval relationships. The semantics of our language are clearly defined and we illustrate its usefulness by expressing typical events in it and showing the promising results of an experimental evaluation.
url
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7439303View

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