@inproceedings{361ec002cd27479783807c0caa4e6e2f,
title = "A Fuzzy System for Surveillance Picture Understanding",
abstract = "The last stage of any type of automatic surveillance system is the interpretation of information acquired from sensors. This work focuses on the interpretation of motion pictures taken from a surveillance camera, i.e. image understanding . The expert system presented in this paper can describe simple human activity in the field of view of a surveillance camera in natural language. The system has three different components: a pre-processing module for image segmentation and feature extraction, an object identification expert system (static model) and an action identification expert system (dynamic temporal model). The system was tested on a video segment of a pedestrian passageway taken by surveillance camera.",
keywords = "Image understanding, Picture segmentation, Fuzzy expert systems, Surveillance video",
author = "{Shmilovici Leib}, Armin and Uri Kartoun and Helman Stern",
year = "2005",
month = jul,
day = "1",
language = "English",
isbn = "9781586035365",
series = "NATO Science Series, III: Computer and Systems Sciences Ser.",
publisher = "IOS Press",
pages = "542--552",
editor = "Shahbazian, {E. } and Rogova, {G. } and Valin, {P. }",
booktitle = "Data Fusion for Situation Monitoring, Incident Detection, Alert and Response Management",
address = "Netherlands",
}