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On the visual expectations of moving objects
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Visual surveillance in a dynamic and uncertain world
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A State-Based Approach to the Representation and Recognition of Gesture
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Bayesian Approaches to Gaussian Mixture Modeling
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Learning Patterns of Activity Using Real-Time Tracking
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W4: Real-Time Surveillance of People and Their Activities
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A Bayesian Computer Vision System for Modeling Human Interactions
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Discovery and Segmentation of Activities in Video
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Multiobject Behavior Recognition by Event Driven Selective Attention Method
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The Recognition of Human Movement Using Temporal Templates
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A framework for recognizing the simultaneous aspects of American sign language
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Event Detection and Analysis from Video Streams
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Unsupervised Learning of Finite Mixture Models
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Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Stochastic Complexity in Statistical Inquiry Theory
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View-Invariant Representation and Recognition of Actions
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Model selection for probabilistic clustering using cross-validatedlikelihood
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Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood
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Learning Dynamic Bayesian Networks
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CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Learning and Recognizing Human Dynamics in Video Sequences
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The Acquisition and Use of Interaction Behavior Models
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VIGOUR: A System for Tracking and Recognition of Multiple People and their Activities
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AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Recognition of Group Activities using Dynamic Probabilistic Networks
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Probabilistic Space-Time Video Modeling via Piecewise GMM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning the structure of dynamic probabilistic networks
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Event based indexing of broadcasted sports video by intermodalcollaboration
IEEE Transactions on Multimedia
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Flexible test-bed for unusual behavior detection
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Spectral clustering with eigenvector selection
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Activity based surveillance video content modelling
Pattern Recognition
Incremental and adaptive abnormal behaviour detection
Computer Vision and Image Understanding
Monitoring human behavior in an assistive environment using multiple views
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Human Behavior Classification Using Multiple Views
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
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Proceedings of the international conference on Spatial Cognition VI: Learning, Reasoning, and Talking about Space
Using decision trees to recognize visual events
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
Analysis of Human Actions for Video Indexing
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Incremental EM for Probabilistic Latent Semantic Analysis on Human Action Recognition
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
International Journal of Robotics Research
Real-time illegal parking detection in outdoor environments using 1-D transformation
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Incremental learning of statistical motion patterns with growing hidden Markov models
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Group interaction analysis in dynamic context
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IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Active-learning assisted self-reconfigurable activity recognition in a dynamic environment
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Human action recognition using boosted EigenActions
Image and Vision Computing
Detection of user-defined, semantically high-level, composite events, and retrieval of event queries
Multimedia Tools and Applications
Visual event recognition using decision trees
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Trajectory classification using switched dynamical hidden Markov models
IEEE Transactions on Image Processing
Detecting and discriminating behavioural anomalies
Pattern Recognition
Cooperative object tracking and composite event detection with wireless embedded smart cameras
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Enhanced human behavior recognition using HMM and evaluative rectification
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ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Knowledge based activity recognition with dynamic bayesian network
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Determining the best suited semantic events for cognitive surveillance
Expert Systems with Applications: An International Journal
Abnormality detection using low-level co-occurring events
Pattern Recognition Letters
Proceedings of the 6th international conference on Human-robot interaction
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Hierarchical visual event pattern mining and its applications
Data Mining and Knowledge Discovery
Boosted multi-class semi-supervised learning for human action recognition
Pattern Recognition
Bayesian networks and the imprecise Dirichlet model applied to recognition problems
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
Human behavior clustering for anomaly detection
Frontiers of Computer Science in China
Trajectory Analysis and Semantic Region Modeling Using Nonparametric Hierarchical Bayesian Models
International Journal of Computer Vision
Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis
Computer Vision and Image Understanding
Bayesian filter based behavior recognition in workflows allowing for user feedback
Computer Vision and Image Understanding
Behavior recognition from multiple views using fused hidden markov models
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Human activity monitoring by local and global finite state machines
Expert Systems with Applications: An International Journal
International Journal of Computer Vision
Video Behaviour Mining Using a Dynamic Topic Model
International Journal of Computer Vision
Detection of similar sequences in EEG maps series using correlation coefficients matrix
Machine Graphics & Vision International Journal
Combining per-frame and per-track cues for multi-person action recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
Retrieving actions in group contexts
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
Tracking in object action space
Computer Vision and Image Understanding
TODMIS: mining communities from trajectories
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Behavior recognition from video based on human constrained descriptor and adaptable neural networks
Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream
Gesture recognition using depth images
Proceedings of the 15th ACM on International conference on multimodal interaction
The Visual Computer: International Journal of Computer Graphics
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In this work, we present a unified bottom-up and top-down automatic model selection based approach for modelling complex activities of multiple objects in cluttered scenes. An activity of multiple objects is represented based on discrete scene events and their behaviours are modelled by reasoning about the temporal and causal correlations among different events. This is significantly different from the majority of the existing techniques that are centred on object tracking followed by trajectory matching. In our approach, object-independent events are detected and classified by unsupervised clustering using Expectation-Maximisation (EM) and classified using automatic model selection based on Schwarz's Bayesian Information Criterion (BIC). Dynamic Probabilistic Networks (DPNs) are formulated for modelling the temporal and causal correlations among discrete events for robust and holistic scene-level behaviour interpretation. In particular, we developed a Dynamically Multi-Linked Hidden Markov Model (DML-HMM) based on the discovery of salient dynamic interlinks among multiple temporal processes corresponding to multiple event classes. A DML-HMM is built using BIC based factorisation resulting in its topology being intrinsically determined by the underlying causality and temporal order among events. Extensive experiments are conducted on modelling activities captured in different indoor and outdoor scenes. Our experimental results demonstrate that the performance of a DML-HMM on modelling group activities in a noisy and cluttered scene is superior compared to those of other comparable dynamic probabilistic networks including a Multi-Observation Hidden Markov Model (MOHMM), a Parallel Hidden Markov Model (PaHMM) and a Coupled Hidden Markov Model (CHMM).