Search Results for author: Vania Bogorny

Found 9 papers, 4 papers with code

TraClets: Harnessing the power of computer vision for trajectory classification

1 code implementation27 May 2022 Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes, Vania Bogorny

To this end, researchers have developed several trajectory classification algorithms over the years that are able to annotate tracking data.

Classification

Mining frequency-based sequential trajectory co-clusters

no code implementations27 Oct 2021 Yuri Santos, Jônata Tyska, Vania Bogorny

To address the limitations above, we propose a new trajectory co-clustering method for mining semantic trajectory co-clusters.

Clustering

Fast discovery of multidimensional subsequences for robust trajectory classification

no code implementations9 Feb 2021 Tarlis Portela, Jonata Tyska, Vania Bogorny

Trajectory classification tasks became more complex as large volumes of mobility data are being generated every day and enriched with new sources of information, such as social networks and IoT sensors.

Classification General Classification

Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning

no code implementations7 Apr 2020 Lucas May Petry, Amilcar Soares, Vania Bogorny, Bruno Brandoli, Stan Matwin

The global expansion of maritime activities and the development of the Automatic Identification System (AIS) have driven the advances in maritime monitoring systems in the last decade.

Anomaly Detection BIG-bench Machine Learning +1

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring

no code implementations14 Aug 2019 Lucas May Petry, Amilcar Soares, Vania Bogorny, Stan Matwin

The worldwide growth of maritime traffic and the development of the Automatic Identification System (AIS) has led to advances in monitoring systems for preventing vessel accidents and detecting illegal activities.

BIG-bench Machine Learning Event Detection +1

Discovering Heterogeneous Subsequences for Trajectory Classification

no code implementations18 Mar 2019 Carlos Andres Ferrero, Lucas May Petry, Luis Otavio Alvares, Willian Zalewski, Vania Bogorny

In this paper we propose a new parameter-free method for trajectory classification which finds the best trajectory partition and dimension combination for robust trajectory classification.

Classification General Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.