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Where Are They Going? Predicting Human Behaviors in Crowded Scenes

https://doi.org/10.1145/3449359
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-46448-0_16openalex-snapshot
Pedestrian Behavior Understanding and Prediction with Deep Neural Networks
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_42openalex-snapshot
Knowledge Transfer for Scene-Specific Motion Prediction
inferredcites →https://doi.org/10.1007/978-3-319-46484-8_33openalex-snapshot
Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes
inferredcites →https://doi.org/10.1007/978-3-642-12304-7_27openalex-snapshot
Crowd Flow Characterization with Optimal Control Theory
inferredcites →https://doi.org/10.1007/978-3-642-33765-9_15openalex-snapshot
Activity Forecasting
inferredcites →https://doi.org/10.1007/s11263-014-0735-3openalex-snapshot
Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents
inferredcites →https://doi.org/10.1016/j.neucom.2015.11.021openalex-snapshot
Crowd behavior analysis: A review where physics meets biology
inferredcites →https://doi.org/10.1016/j.neunet.2018.09.002openalex-snapshot
Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection
inferredcites →https://doi.org/10.1103/physreve.51.4282openalex-snapshot
Social force model for pedestrian dynamics
inferredcites →https://doi.org/10.1109/avss.2018.8639113openalex-snapshot
Optical Flow Dataset and Benchmark for Visual Crowd Analysis
inferredcites →https://doi.org/10.1109/cvpr.2007.382977openalex-snapshot
A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis
inferredcites →https://doi.org/10.1109/cvpr.2014.283openalex-snapshot
Socially-Aware Large-Scale Crowd Forecasting
inferredcites →https://doi.org/10.1109/cvpr.2015.7298971openalex-snapshot
Understanding pedestrian behaviors from stationary crowd groups
inferredcites →https://doi.org/10.1109/cvpr.2016.110openalex-snapshot
Social LSTM: Human Trajectory Prediction in Crowded Spaces
inferredcites →https://doi.org/10.1109/cvpr.2017.233openalex-snapshot
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
inferredcites →https://doi.org/10.1109/cvpr.2017.365openalex-snapshot
Social Scene Understanding: End-to-End Multi-person Action Localization and Collective Activity Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00240openalex-snapshot
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00144openalex-snapshot
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
inferredcites →https://doi.org/10.1109/cvprw.2012.6239348openalex-snapshot
Violent flows: Real-time detection of violent crowd behavior
inferredcites →https://doi.org/10.1109/icpr.2018.8545447openalex-snapshot
Context-Aware Trajectory Prediction
inferredcites →https://doi.org/10.1109/icra.2018.8460504openalex-snapshot
Social Attention: Modeling Attention in Human Crowds
inferredcites →https://doi.org/10.1109/robot.1995.525251openalex-snapshot
Proceedings of 1995 IEEE International Conference on Robotics and Automation
inferredcites →https://doi.org/10.1109/tcsvt.2014.2358029openalex-snapshot
Crowded Scene Analysis: A Survey
inferredcites →https://doi.org/10.1109/tcsvt.2016.2539878openalex-snapshot
Learning Scene-Independent Group Descriptors for Crowd Understanding
inferredcites →https://doi.org/10.1109/tcsvt.2016.2580401openalex-snapshot
Support Vector Motion Clustering
inferredcites →https://doi.org/10.1109/tpami.2011.176openalex-snapshot
Vision-Based Analysis of Small Groups in Pedestrian Crowds
inferredcites →https://doi.org/10.1109/tpami.2011.64openalex-snapshot
Trajectory Learning for Activity Understanding: Unsupervised, Multilevel, and Long-Term Adaptive Approach
inferredcites →https://doi.org/10.1109/tpami.2012.123openalex-snapshot
Identifying Behaviors in Crowd Scenes Using Stability Analysis for Dynamical Systems
inferredcites →https://doi.org/10.1109/tpami.2013.111openalex-snapshot
Anomaly Detection and Localization in Crowded Scenes
inferredcites →https://doi.org/10.1145/2856400.2856410openalex-snapshot
Path patterns
inferredcites →https://doi.org/10.1145/3052930openalex-snapshot
Crowd Scene Understanding from Video
inferredcites →https://doi.org/10.1177/0278364920917446openalex-snapshot
Human motion trajectory prediction: a survey
inferredcites →https://doi.org/10.48550/arxiv.1601.00998openalex-snapshot
Forecasting Social Navigation in Crowded Complex Scenes
inferredcites →https://doi.org/10.5555/2772879.2773256openalex-snapshot
Learning Behavior Patterns from Video: A Data-driven Framework for Agent-based Crowd Modeling

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s43995-024-00071-3openalex-snapshot
Recent trends in crowd management using deep learning techniques: a systematic literature review
inferred← citeshttps://doi.org/10.1016/j.imu.2021.100799openalex-snapshot
Missing value imputation affects the performance of machine learning: A review and analysis of the literature (2010–2021)
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.07.085openalex-snapshot
Pedestrian Intention Prediction for Autonomous Vehicles: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1080/21681163.2022.2155577openalex-snapshot
SPD matrices representing artery anatomy for first-pass effect prediction by aggregated networks with multi-scale attentions
inferred← citeshttps://doi.org/10.1109/tetci.2024.3386840openalex-snapshot
Multilevel Joint Association Networks for Diverse Human Motion Prediction
inferred← citeshttps://doi.org/10.1109/tmm.2024.3381040openalex-snapshot
Crowd Descriptors and Interpretable Gathering Understanding
inferred← citeshttps://doi.org/10.1109/tpami.2022.3147639openalex-snapshot
SEEM: A Sequence Entropy Energy-Based Model for Pedestrian Trajectory All-Then-One Prediction
inferred← citeshttps://doi.org/10.1145/3519304openalex-snapshot
Deep Hierarchical Attention Active Learning for Mental Disorder Unlabeled Data in AIoMT
inferred← citeshttps://doi.org/10.1145/3534932openalex-snapshot
PMAL: A Proxy Model Active Learning Approach for Vision Based Industrial Applications
inferred← citeshttps://doi.org/10.1145/3579359openalex-snapshot
Bidirectional Transformer GAN for Long-term Human Motion Prediction
inferred← citeshttps://doi.org/10.1145/3581788openalex-snapshot
Incentive Mechanism with Task Bundling for Mobile Crowd Sensing
inferred← citeshttps://doi.org/10.1145/3654671openalex-snapshot
Discriminative Segment Focus Network for Fine-grained Video Action Recognition
inferred← citeshttps://doi.org/10.1145/3678599.3678609openalex-snapshot
Tidal Crowds: A Federated Crowd Flow Prediction Algorithm
inferred← citeshttps://doi.org/10.1145/3715140openalex-snapshot
DISA: Disentangled Dual-Branch Framework for Affordance-Aware Human Insertion
inferred← citeshttps://doi.org/10.1145/3801228.3801281openalex-snapshot
OTTP: An Optimal Transport-based model for pedestrian Multimodal Trajectory Prediction
inferred← citeshttps://doi.org/10.1371/journal.pone.0299950openalex-snapshot
Early warning on safety risk of highly aggregated tourist crowds based on VGGT-Count network model
inferred← citeshttps://doi.org/10.3390/app15179245openalex-snapshot
Human-Centered AI in Placemaking: A Review of Technologies, Practices, and Impacts
inferred← citeshttps://doi.org/10.3390/vehicles7020057openalex-snapshot
Navigating Uncertainty: Advanced Techniques in Pedestrian Intention Prediction for Autonomous Vehicles—A Comprehensive Review
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