V
Vania Bogorny
Researcher at Universidade Federal de Santa Catarina
Publications - 78
Citations - 2902
Vania Bogorny is an academic researcher from Universidade Federal de Santa Catarina. The author has contributed to research in topics: Trajectory & Computer science. The author has an hindex of 21, co-authored 70 publications receiving 2558 citations. Previous affiliations of Vania Bogorny include Universidade Federal do Rio Grande do Sul & French Institute for Research in Computer Science and Automation.
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Journal ArticleDOI
Semantic trajectories modeling and analysis
Christine Parent,Stefano Spaccapietra,Chiara Renso,Gennady Andrienko,Natalia Andrienko,Vania Bogorny,Maria Luisa Damiani,Aris Gkoulalas-Divanis,José Antônio Fernandes de Macêdo,Nikos Pelekis,Yannis Theodoridis,Zhixian Yan +11 more
TL;DR: A survey of the approaches and techniques for constructing trajectories from movement tracks, enriching trajectories with semantic information to enable the desired interpretations of movements, and using data mining to analyze semantic trajectories to extract knowledge about their characteristics.
Proceedings ArticleDOI
A clustering-based approach for discovering interesting places in trajectories
TL;DR: The proposed solution is a spatio-temporal clustering method, based on speed, to work with single trajectories, and it is shown that the computation of stops using the concept of speed can be interesting for several applications.
Proceedings ArticleDOI
A model for enriching trajectories with semantic geographical information
Luis Otavio Alvares,Vania Bogorny,Bart Kuijpers,José Antônio Fernandes de Macêdo,Bart Moelans,Alejandro A. Vaisman +5 more
TL;DR: This paper proposes a data preprocessing model to add semantic information to trajectories in order to facilitate trajectory data analysis in different application domains and shows that the query complexity for the semantic analysis of trajectories will be significantly reduced.
Journal ArticleDOI
Toward Abnormal Trajectory and Event Detection in Video Surveillance
Serhan Cosar,Giuseppe Donatiello,Vania Bogorny,Carolina Garate,Luis Otavio Alvares,Francois Bremond +5 more
TL;DR: This paper proposes an integrated pipeline that incorporates the output of object trajectory analysis and pixel-based analysis for abnormal behavior inference and shows that this approach is able to detect several types of abnormal group behaviors with less number of false alarms compared with existing approaches.
Journal ArticleDOI
CONSTAnT – A Conceptual Data Model for Semantic Trajectories of Moving Objects
Vania Bogorny,Chiara Renso,Artur Ribeiro de Aquino,Fernando de Lucca Siqueira,Luis Otavio Alvares +4 more
TL;DR: A semantic trajectory conceptual data model named CONSTAnT is presented, which defines the most important aspects of semantic trajectories and believes that this model will be the foundation for the design of semantic trajectory databases, where several aspects that make a trajectory “semantic” are taken into account.