A cost minimization approach to human behavior recognition
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A daily behavior enabled hidden Markov model for human behavior understanding
Pattern Recognition
A daily behavior enabled hidden Markov model for human behavior understanding
Pattern Recognition
Understanding human intentions via hidden markov models in autonomous mobile robots
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Robust and efficient plan recognition for dynamic multi-agent teams
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Continuous Hand Gesture Recognition in the Learned Hierarchical Latent Variable Space
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Semantic Representation and Recognition of Continued and Recursive Human Activities
International Journal of Computer Vision
Efficient duration and hierarchical modeling for human activity recognition
Artificial Intelligence
International Journal of Computer Vision
Human action recognition by feature-reduced Gaussian process classification
Pattern Recognition Letters
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
Recognition of User Intentions for Interface Agents with Variable Order Markov Models
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Hypothesis pruning and ranking for large plan recognition problems
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Review: The use of pervasive sensing for behaviour profiling - a survey
Pervasive and Mobile Computing
Real-time illegal parking detection in outdoor environments using 1-D transformation
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Goal recognition with variable-order Markov models
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Unsupervised context detection using wireless signals
Pervasive and Mobile Computing
Behaviour Recognition from Sensory Streams in Smart Environments
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Active-learning assisted self-reconfigurable activity recognition in a dynamic environment
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Learning to recognize video-based spatiotemporal events
IEEE Transactions on Intelligent Transportation Systems
Discriminative human action recognition in the learned hierarchical manifold space
Image and Vision Computing
Decision level multiple cameras fusion using dezert-smarandache theory
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Computer Vision and Image Understanding
Decomposition in hidden Markov models for activity recognition
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
A vision-based architecture for intent recognition
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Characteristic-based descriptors for motion sequence recognition
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Problems people with dementia have with kitchen tasks: The challenge for pervasive computing
Interacting with Computers
Logic-based representation, reasoning and machine learning for event recognition
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
Detecting and discriminating behavioural anomalies
Pattern Recognition
Recognising Agent Behaviour During Variable Length Activities
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Human activity analysis: A review
ACM Computing Surveys (CSUR)
Activity recognition using eye-gaze movements and traditional interactions
Interacting with Computers
Activity Recognition for Dynamic Multi-Agent Teams
ACM Transactions on Intelligent Systems and Technology (TIST)
Selective spatio-temporal interest points
Computer Vision and Image Understanding
Review: Situation identification techniques in pervasive computing: A review
Pervasive and Mobile Computing
Unsupervised plan detection with factor graphs
Sensor-KDD'08 Proceedings of the Second international conference on Knowledge Discovery from Sensor Data
Using constraint optimization for conflict resolution and detail control in activity recognition
AmI'11 Proceedings of the Second international conference on Ambient Intelligence
Hierarchical activity recognition using automatically clustered actions
AmI'11 Proceedings of the Second international conference on Ambient Intelligence
Attitude towards robots depends on interaction but not on anticipatory behaviour
ICSR'11 Proceedings of the Third international conference on Social Robotics
Workflow activity monitoring using dynamics of pair-wise qualitative spatial relations
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Modeling sequences of user actions for statistical goal recognition
User Modeling and User-Adapted Interaction
A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living
Expert Systems with Applications: An International Journal
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Visual code-sentences: a new video representation based on image descriptor sequences
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Marginalized Viterbi algorithm for hierarchical hidden Markov models
Pattern Recognition
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Large scale continuous visual event recognition using max-margin Hough transformation framework
Computer Vision and Image Understanding
Finding the most likely upper level state sequence for hierarchical HMMs
SLSP'13 Proceedings of the First international conference on Statistical Language and Speech Processing
A novel evidence based model for detecting dangerous situations in level crossing environments
Expert Systems with Applications: An International Journal
Language-motivated approaches to action recognition
The Journal of Machine Learning Research
On hierarchical modelling of motion for workflow analysis from overhead view
Machine Vision and Applications
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Directly modeling the inherent hierarchy and shared structures of human behaviors, we present an application of the hierarchical hidden Markov model (HHMM) for the problem of activity recognition. We argue that to robustly model and recognize complex human activities, it is crucial to exploit both the natural hierarchical decomposition and shared semantics embedded in the movement trajectories. To this end, we propose the use of the HHMM, a rich stochastic model that has been recently extended to handle shared structures, for representing and recognizing a set of complex indoor activities. Furthermore, in the need of real-time recognition, we propose a Rao-Blackwellised particle filter (RBPF) thatefficiently computes the filtering distribution at a constant time complexity for each new observation arrival. The main contributions of this paper lie in the application of the shared-structure HHMM, the estimation of the modelýs parameters at all levels simultaneously, and a construction of an RBPF approximate inference scheme. The experimental results in a real-world environment have confirmed our belief that directly modeling shared structures not only reduces computational cost, but also improves recognition accuracy when compared with the tree HHMM and the flat HMM.