Name
Abstract | ||
|---|---|---|
The paper presents a behavioral model to describe the event flows that reflect actions of the objects under observation. The model is intended for use in intelligent business intelligence systems and allows implementing the identification of the dynamic characteristics of the observed objects. The proposed model makes it possible to implement the detection of behavioral patterns by the movement of an object in a controlled space. The initial data includes the track itself and events that characterize its changes over time. This takes into account not only the movement of the object, but also the speed of movement, as well as special markers that characterize the manifestation of the interest of the observed object in the objects of the environment. By comparing the manifestations of the object's interest in the form of events with given patterns, deviant behavior can be identified. As an example, there is presented video analytics systems implemented for the monitoring of the behavior of museum visitors.
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Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/978-3-031-16078-3_11 | Intelligent Systems and Applications |
Keywords | DocType | ISSN |
Behavioral models, Intelligent systems, Computer vision, Museum security | Conference | 2367-3370 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ivaschenko Anton | 1 | 0 | 0.34 |
| Anikin Dmitriy | 2 | 0 | 0.34 |
| Reznikov Yuriy | 3 | 0 | 0.34 |
| Sitnikov Pavel | 4 | 0 | 0.34 |
| Surnin Oleg | 5 | 0 | 0.34 |