Results 11 to 20 of about 2,799,679 (274)
Online Trajectory Classification [PDF]
, 2003 This study proposes a modular system for clustering on-line motion trajectories obtained while users navigate within a virtual environment. It presents a neural network simulation that gives a set of five clusters which help to differentiate users on the basis of efficient and inefficient navigational strategies.
Corina Sas +2 more
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A Music Classification Approach Based on the Trajectory of Fifths
IEEE Access, 2022 In this paper we examine the applicability of the trajectory of fifths as a source of knowledge in automated music classification processes. The study shows that such trajectories provide valuable information concerning the harmonic structure of a given ...
Tomasz Lukaszewicz, Dariusz Kania
doaj +4 more sources
Research on Ship Trajectory Classification Based on a Deep Convolutional Neural Network
Journal of Marine Science and Engineering, 2022 With the aim of solving the problems of ship trajectory classification and channel identification, a ship trajectory classification method based on deep a convolutional neural network is proposed.
Tao Guo, Lei Xie
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Sensors, 2022 Ship type classification is an essential task in maritime navigation domains, contributing to shipping monitoring, analysis, and forecasting. Presently, with the development of ship positioning and monitoring systems, many ship trajectory acquisitions ...
Tao Sun +4 more
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TraClets: A trajectory representation and classification library
SoftwareX, 2023 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 dive through this vast sea of information and generate insights and ...
Ioannis Kontopoulos +2 more
doaj +3 more sources
Trajectory Classification Through Topological Data Analysis Perspectives
IEEE AccessThis paper examines the application of Topological Data Analysis (TDA) for trajectory classification, aiming to improve the interpretation of complex spatial movement patterns.
Miriam Esteve, Antonio Falco
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Adversarial Mobility Learning for Human Trajectory Classification [PDF]
IEEE Access, 2020 Understanding human mobility is one of the important but challenging tasks in Location-based Social Networks (LBSN). Recently, a user mobility mining task called Trajectory User Linking (TUL) has become an essential and popular topic, aiming at ...
Qiang Gao +5 more
doaj +2 more sources
Spatio-Temporal GRU for Trajectory Classification
2019 IEEE International Conference on Data Mining (ICDM), 2019 Spatio-temporal trajectory classification is a fundamental problem for location-based services with many real-world applications such as travel mode classification, animal mobility detection, and location recommendation. In the literature, many approaches have been proposed to solve this classification task including deep learning models like LSTM ...
Hongbin Liu 0007 +3 more
openaire +2 more sources
The Trajectory Interval Forest Classifier for Trajectory Classification
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023 GPS devices generate spatio-temporal trajectories for different types of moving objects. Scientists can exploit them to analyze migration patterns, manage city traffic, monitor the spread of diseases, etc. Many current state-of-the-art models that use this data type require a not negligible running time to be trained. To overcome this issue, we propose
Cristiano Landi +3 more
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Trajectory based video analysis in multi-camera setups [PDF]
, 2010 PhDThis thesis presents an automated framework for activity analysis in multi-camera setups. We start with the calibration of cameras particularly without overlapping views.
Anjum, Nadeem
core +4 more sources