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A system for learning statistical motion patterns

https://doi.org/10.1109/tpami.2006.176

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What this work says

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

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Ontology-Driven Bayesian Networks for Dynamic Scene Understanding

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Semantic-level Understanding of Human Actions and Interactions using Event Hierarchy

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Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model

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A framework for the robust estimation of optical flow

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A multi-object tracking system for surveillance video analysis

inferredcites →https://doi.org/10.1109/icpr.2004.1334359openalex-snapshot

Multi feature path modeling for video surveillance

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Monitoring crowded traffic scenes

inferredcites →https://doi.org/10.1109/tfuzz.2003.809902openalex-snapshot

Fast accurate fuzzy clustering through data reduction

inferredcites →https://doi.org/10.1109/tpami.2002.1023803openalex-snapshot

Extraction of 2D motion trajectories and its application to hand gesture recognition

inferredcites →https://doi.org/10.1109/tsmcb.2002.1033179openalex-snapshot

Complexity reduction for "large image" processing

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Learning Activity Patterns Using Fuzzy Self-Organizing Neural Network

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Visual surveillance of human activity

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TOWARDS UNRESTRICTED LIP READING

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What points at this work

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Multiple instance-based video anomaly detection using deep temporal encoding–decoding

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Hierarchical crowd analysis and anomaly detection

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Event monitoring via local motion abnormality detection in non-linear subspace

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Video anomaly detection based on a hierarchical activity discovery within spatio-temporal contexts

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Collective motion pattern inference via Locally Consistent Latent Dirichlet Allocation

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Trajectory-based motion pattern analysis of crowds

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Prototype-guided and dynamic-aware video anomaly detection

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Motion-based behaviour learning, profiling and classification in the presence of anomalies

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Activity classification and anomaly detection using m-mediods based modelling of motion patterns

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Adaptive human motion analysis and prediction

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Frameworks for multivariate m-mediods based modeling and classification in Euclidean and general feature spaces

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An entropy approach for abnormal activities detection in video streams

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Abnormal event detection in crowded scenes using sparse representation

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On the use of a minimal path approach for target trajectory analysis

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M4L: Maximum margin Multi-instance Multi-cluster Learning for scene modeling

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Vs-star: A visual interpretation system for visual surveillance

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Abnormality detection using low-level co-occurring events

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Online Prediction for Safe Human-Robot Collaboration: A Model of the Human Arm

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HDP-HMM-SCFG: A Novel Model for Trajectory Representation and Classification

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Automated work cycle classification and performance measurement for manual work stations

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Data-driven approaches for road safety: A comprehensive systematic literature review

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Explainable multimodal trajectory prediction using attention models

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Robotic Etiquette: Socially Acceptable Navigation of Service Robots with Human Motion Pattern Learning and Prediction

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Automatic Motion Learning in the Presence of Anomalies Using Coefficient Feature Space Representation of Trajectories

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Unsupervised learning of maritime traffic patterns for anomaly detection

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Integrate tool for online analysis and offline mining of people trajectories

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Unsupervised discovery of human activities from long‐time videos

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Video anomaly detection using deep incremental slow feature analysis network

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Trajectory‐based anomalous behaviour detection for intelligent traffic surveillance

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Vision‐based traffic accident detection using sparse spatio‐temporal features and weighted extreme learning machine

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Unsupervised video anomaly detection using feature clustering

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Deep‐learning‐based vehicle trajectory prediction: A review

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A design approach for traffic surveillance using real time computer vision for vehicle tracking

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Anomalous behavior detection in single-trajectory data

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Tucker visual search-based hybrid tracking model and Fractional Kohonen Self-Organizing Map for anomaly localization and detection in surveillance videos

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Motion estimation of high density crowd using fluid dynamics

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An on-line algorithm for anomaly detection in trajectory data

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Object Tracking Based on Stable Feature Mining Using Intraframe Clustering and Interframe Association

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Anomaly Detection in Videos Using Optical Flow and Convolutional Autoencoder

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Spatiotemporal Representation Learning for Video Anomaly Detection

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Research on Traffic Vehicle Behavior Prediction Method Based on Game Theory and HMM

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Vision-Based Traffic Conflict Detection Using Trajectory Learning and Prediction

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Bidirectional Retrospective Generation Adversarial Network for Anomaly Detection in Videos

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Discovering and Describing Activities by Trajectory Analysis

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Generating unsupervised models for online long-term daily living activity recognition

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An new model for robot navigation based on AprioriAll algorithm

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Enhanced Convolutional Neural Network for Abnormal Event Detection in Video Streams

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Video Analysis and Trajectory Based Video Annotation System

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Detection of abnormal behaviors using a mixture of Von Mises distributions

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Anomalous trajectory detection using support vector machines

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Learning and Classification of Trajectories in Dynamic Scenes: A General Framework for Live Video Analysis

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Learning People Trajectories Using Semi-directional Statistics

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Segment Model Based Vehicle Motion Analysis

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Trajectory Based Activity Discovery

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A Bayesian Framework for Online Interaction Classification

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Local Abnormality Detection in Video Using Subspace Learning

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Modeling of moving object trajectory by spatio-temporal learning for abnormal behavior detection

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A hybrid framework for online recognition of activities of daily living in real-world settings

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Deep trajectory representation-based clustering for motion pattern extraction in videos

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Anomaly detection in videos: A dynamical systems approach

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Unsupervised inverse reinforcement learning with noisy data

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Statistical Maneuver Net Generation for Anomaly Detection in Navigational Waterways

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Trajectory Segmentation Based on Spatio-Temporal Locality with Multidimensional Index Structures

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Epitomic Representation of Human Activities

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Learning object motion patterns for anomaly detection and improved object detection

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Using circular statistics for trajectory shape analysis

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Observe locally, infer globally: A space-time MRF for detecting abnormal activities with incremental updates

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Abnormal events detection based on spatio-temporal co-occurences

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Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern models

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What's going on? Discovering spatio-temporal dependencies in dynamic scenes

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Exploiting simple hierarchies for unsupervised human behavior analysis

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Scene understanding by statistical modeling of motion patterns

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Sparse reconstruction cost for abnormal event detection

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Random field topic model for semantic region analysis in crowded scenes from tracklets

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Online detection of unusual events in videos via dynamic sparse coding

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A unified framework for event summarization and rare event detection

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Video anomaly detection based on local statistical aggregates

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Articulated motion discovery using pairs of trajectories

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Abnormal events detection based on spatio-temporal co-occurences

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People trajectory mining with statistical pattern recognition

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An extended fuzzy SOM for anomalous behaviour detection

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Improved anomaly detection in crowded scenes via cell-based analysis of foreground speed, size and texture

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Tracking many vehicles in wide area aerial surveillance

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Understanding dyadic interactions applying proxemic theory on videosurveillance trajectories

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Anomalous Event Detection Using a Semi-Two Dimensional Hidden Markov Model

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An Evaluation of Different Features and Learning Models for Anomalous Event Detection

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