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ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild
Estimating the pose of a moving camera from monocular video is a challenging problem, especially due to the presence of moving objects in dynamic...
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A transformer-based neural ODE for dense prediction
Neural ordinary differential equations (ODEs) represent an emergent class of deep learning models exhibiting continuous depth. While they have shown...
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User re-identification via human mobility trajectories with siamese transformer networks
People are keen to share their geospatial locations to access social activities or services via mobile internet, which provides a new perspective for...
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Semantic Business Trajectories Modeling and Analysis
With the increasing availability of online news data through social media, there has been a growing focus on its potential as a source of business...
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Action recognition by key trajectories
Human action recognition is an active field of research that intends to explain what a subject is doing in an input video. Deep learning...
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A deep learning approach to predicting vehicle trajectories in complex road networks
Accurate prediction of vehicle trajectories is essential for safe and efficient navigation in urban environments, particularly with the increasing...
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PTDS CenterTrack: pedestrian tracking in dense scenes with re-identification and feature enhancement
Multi-object tracking in dense scenes has always been a major difficulty in this field. Although some existing algorithms achieve excellent results...
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Enhanced HMM Map Matching Model Based on Multiple Type Trajectories
Map matching (MM) aims to align GPS trajectory with the actual roads on a map that vehicles pass through, essential for applications like trajectory...
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Skeleton joint trajectories based human activity recognition using deep RNN
Human Activity Recognition is the act of recognizing activities performed by humans in real-time. This can be done using video data or more advanced...
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T-DANTE: Detecting Group Behaviour in Spatio-Temporal Trajectories Using Context Information
The present study addresses the group detection problem using spatio-temporal data. This study relies on modeling contextual information embedded in...
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Generating Spatiotemporal Trajectories with GANs and Conditional GANs
Modeling the movements of individual and populations, and generating synthetic spatiotemporal trajectory data play an important role in lots of...
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PICT: Precision-enhanced Road Intersection Recognition Using Cycling Trajectories
To recognize road intersections using cycling trajectories accurately is vital to the quality of the digital map that cycling navigation apps use....
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Deep learning for location prediction on noisy trajectories
Precise tracking of a point-target on a nonlinear trajectory is challenging and has applications ranging from traffic analysis to microscopic...
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An experimental study of existing tools for outlier detection and cleaning in trajectories
Outlier detection and cleaning are essential steps in data preprocessing to ensure the integrity and validity of data analyses. This paper focuses on...
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Generating natural pedestrian crowds by learning real crowd trajectories through a transformer-based GAN
Traditional methods for constructing crowd simulations often have shortcomings in terms of realism, and data-driven methods are an effective approach...
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End-to-End Surface Reconstruction for Touching Trajectories
Whereas vision based 3D reconstruction strategies have progressed substantially with the abundance of visual data and emerging machine-learning...
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TrajectoryVis: a visual approach to explore movement trajectories
Social networks are a dominant data source for sharing, participation, and exchanging information. For example, Twitter is a microblogging site that...
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Anomalous event detection and localization in dense crowd scenes
Recognizing and localizing anomalous events in crowd scenes is a challenging problem that has attracted the attention of researchers in computer...
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Searching Similar Trajectories Based on Shape
Similarity search in moving object trajectories is a fundamental task in spatio-temporal data mining and analysis. Different from conventional...
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From driving trajectories to driving paths: a survey on map-matching Algorithms
With the widespread deployment of built-in Global Positioning System (GPS) devices, numerous volumes of driving trajectories can be recorded...
