Abnormal High-Level Event Recognition in Parking lot
| Autor: | Emna Fendri, Rania Rebai Boukhriss, Mohamed Hammami, Najla Bouarada Ghrab |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Event (computing) Computer science Elementary event Event recognition 02 engineering and technology Petri net Tracking (particle physics) computer.software_genre Logical relations 020901 industrial engineering & automation Simple (abstract algebra) 0202 electrical engineering electronic engineering information engineering Parking lot 020201 artificial intelligence & image processing Data mining computer |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319763477 ISDA |
| DOI: | 10.1007/978-3-319-76348-4_38 |
| Popis: | In this paper, we presented an approach to automatically detect abnormal high-level events in a parking lot. A high-level event or a scenario is a combination of simple events with spatial, temporal and logical relations. We proposed to define the simple events through a spatio-temporal analysis of features extracted from a low-level processing. The low level processing involves detecting, tracking and classifying moving objects. To naturally model the relations between simpler events, a Petri Nets model was used. The experimental results based on recorded parking video data sets and public data sets illustrate the performance of our approach. |
| Databáze: | OpenAIRE |
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