Unusual behavior detection and object ranking from movement trajectories in target regions
| Autor: | Mateus Barragana, Vania Bogorny, Luis Otavio Alvares |
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| Rok vydání: | 2016 |
| Předmět: |
Point of interest
Relation (database) business.industry Movement (music) Geography Planning and Development Rank (computer programming) 02 engineering and technology Library and Information Sciences Object (computer science) Set (abstract data type) Geography Ranking 020204 information systems 0202 electrical engineering electronic engineering information engineering Trajectory 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Information Systems |
| Zdroj: | International Journal of Geographical Information Science. 31:364-386 |
| ISSN: | 1362-3087 1365-8816 |
| DOI: | 10.1080/13658816.2016.1202415 |
| Popis: | Unusual behavior detection has been of interest in video analysis, transportation systems, movement trajectories, and so on. In movement trajectories, only a few works identify unusual behavior of objects around pre-defined points of interest POI, such as surveillance cameras, commercial buildings, etc., that may be interesting for several application domains, mainly for security. In this article, we define new types of unusual behaviors of moving objects in relation to POI, including surround, escape, and return. Based on these types of unusual behavior, we i present an algorithm to compute these behaviors, ii define a set of functions to weight the degree of unusual behavior of every moving object in the database, and iii rank the moving objects according to the degree of unusual behavior in relation to a set of POIs. We evaluate the proposed method with real trajectory data and show that the closest work does not detect the proposed behaviors and ranks objects considering only one type of unusual movement. |
| Databáze: | OpenAIRE |
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