4 citations · 19 across the 9 of their papers we have counts for
9 papers
TraClets: Harnessing the power of computer vision for trajectory classification
Ioannis Kontopoulos, Antonios Makris, Konstantinos Tserpes +1
Due to the advent of new mobile devices and tracking sensors in recent years, huge amounts of data are being produced every day. Therefore, novel methodologies need to emerge that…
Mining frequency-based sequential trajectory co-clusters
Yuri Santos, Jônata Tyska, Vania Bogorny
Co-clustering is a specific type of clustering that addresses the problem of finding groups of objects without necessarily considering all attributes. This technique has shown to h…
PTRAIL -- A python package for parallel trajectory data preprocessing
Salman Haidri, Yaksh J. Haranwala, Vania Bogorny +3
Trajectory data represent a trace of an object that changes its position in space over time. This kind of data is complex to handle and analyze, since it is generally produced in h…
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning
Lucas May Petry, Amilcar Soares, Vania Bogorny +2
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 dec…
Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation
Mohammad Etemad, Zahra Etemad, Amilcar Soares +3
Large amounts of mobility data are being generated from many different sources, and several data mining methods have been proposed for this data. One of the most critical steps for…
Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring
Lucas May Petry, Amilcar Soares, Vania Bogorny +1
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…
Discovering Heterogeneous Subsequences for Trajectory Classification
Carlos Andres Ferrero, Lucas May Petry, Luis Otavio Alvares +2
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 classif…
Traj2User: exploiting embeddings for computing similarity of users mobile behavior
Andrea Esuli, Lucas May Petry, Chiara Renso +1
Semantic trajectories are high level representations of user movements where several aspects related to the movement context are represented as heterogeneous textual labels. With t…
Discovering Semantic Spatial and Spatio-Temporal Outliers from Moving Object Trajectories
Vitor Cunha Fontes, Vania Bogorny
Several algorithms have been proposed for discovering patterns from trajectories of moving objects, but only a few have concentrated on outlier detection. Existing approaches, in g…