Maximum likelihood estimation for multivariate mixture observations of Markov chins
IEEE Transactions on Information Theory
Statistical methods for speech recognition
Statistical methods for speech recognition
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Finding Variational Structure in Data by Cross-Entropy Optimization
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Using Adaptive Tracking to Classify and Monitor Activities in a Site
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Learning Intrinsic Video Content Using Levenshtein Distance in Graph Partitioning
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Layered Representations for Human Activity Recognition
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Proceedings of the 5th international conference on Multimodal interfaces
Repetitive Motion Analysis: Segmentation and Event Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmenting motion capture data into distinct behaviors
GI '04 Proceedings of the 2004 Graphics Interface Conference
Using Interaction Signatures to Find and Label Chairs and Floors
IEEE Pervasive Computing
Layered representations for learning and inferring office activity from multiple sensory channels
Computer Vision and Image Understanding - Special issue on event detection in video
Beyond Tracking: Modelling Activity and Understanding Behaviour
International Journal of Computer Vision
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
Model Selection for Unsupervised Learning of Visual Context
International Journal of Computer Vision
A System for Learning Statistical Motion Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
A general method for human activity recognition in video
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
A Framework for Model-Based Tracking Experiments in Image Sequences
International Journal of Computer Vision
Extraction and Analysis of Multiple Periodic Motions in Video Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning, detection and representation of multi-agent events in videos
Artificial Intelligence
Robust recognition and segmentation of human actions using HMMs with missing observations
EURASIP Journal on Applied Signal Processing
A real-time model-based human motion tracking and analysis for human computer interface systems
EURASIP Journal on Applied Signal Processing
Boosted string representation and its application to video surveillance
Pattern Recognition
Searching for Complex Human Activities with No Visual Examples
International Journal of Computer Vision
Automated detection of unusual events on stairs
Image and Vision Computing
Optimising dynamic graphical models for video content analysis
Computer Vision and Image Understanding
Linguistic summarization of video for fall detection using voxel person and fuzzy logic
Computer Vision and Image Understanding
Detecting motion patterns via direction maps with application to surveillance
Computer Vision and Image Understanding
Automated visual surveillance in computer vision
AMTA'09 Proceedings of the 10th WSEAS international conference on Acoustics & music: theory & applications
Multiple agent event detection and representation in videos
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Review: The use of pervasive sensing for behaviour profiling - a survey
Pervasive and Mobile Computing
Creating Human Activity Recognition Systems Using Pareto-based Multiobjective Optimization
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
IEEE Transactions on Circuits and Systems for Video Technology
On parsing visual sequences with the hidden Markov model
Journal on Image and Video Processing
Computer Vision and Image Understanding - Special issue: Attention and performance in computer vision
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Modeling human activity from voxel person using fuzzy logic
IEEE Transactions on Fuzzy Systems
Data Driven Evaluation of Crowds
MIG '09 Proceedings of the 2nd International Workshop on Motion in Games
Simplified SOM-neural model for video segmentation of moving objects
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Minimal-latency human action recognition using reliable-inference
Image and Vision Computing
Learning to recognize video-based spatiotemporal events
IEEE Transactions on Intelligent Transportation Systems
Human action recognition using boosted EigenActions
Image and Vision Computing
Spatiotemporal oriented energy features for visual tracking
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Detection and classification of human movements in video scenes
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
An efficient Bayesian framework for on-line action recognition
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Understanding transit scenes: a survey on human behavior-recognition algorithms
IEEE Transactions on Intelligent Transportation Systems
Classification of swimming microorganisms motion patterns in 4D digital in-line holography data
Proceedings of the 32nd DAGM conference on Pattern recognition
A macro-observation scheme for abnormal event detection in daily-life video sequences
EURASIP Journal on Advances in Signal Processing - Special issue on advanced image processing for defense and security applications
A survey of vision-based methods for action representation, segmentation and recognition
Computer Vision and Image Understanding
Event detection and recognition for semantic annotation of video
Multimedia Tools and Applications
Augmenting video surveillance footage with virtual agents for incremental event evaluation
Pattern Recognition Letters
Behavior pattern extraction by trajectory analysis
Frontiers of Computer Science in China
View-invariant modeling and recognition of human actions using grammars
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
Surveillance and human-computer interaction applications of self-growing models
Applied Soft Computing
Slip and fall event detection using Bayesian Belief Network
Pattern Recognition
Trajectory Analysis and Semantic Region Modeling Using Nonparametric Hierarchical Bayesian Models
International Journal of Computer Vision
TED: A texture-edge descriptor for pedestrian detection in video sequences
Pattern Recognition
Human motion synthesis by motion manifold learning and motion primitive segmentation
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
An efficient keyframe extraction from motion capture data
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
Gesture recognition using quadratic curves
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
S-SEER: selective perception in a multimodal office activity recognition system
MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
A comparison of HMMs and dynamic bayesian networks for recognizing office activities
UM'05 Proceedings of the 10th international conference on User Modeling
Tracking people in video camera images using neural networks
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
A survey of techniques for incremental learning of HMM parameters
Information Sciences: an International Journal
Dynamic events as mixtures of spatial and temporal features
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Discriminative actions for recognising events
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Proceedings of the 2010 international conference on Video Processing and Computational Video
Detection of similar sequences in EEG maps series using correlation coefficients matrix
Machine Graphics & Vision International Journal
Uncovering spatial topology represented by rat hippocampal population neuronal codes
Journal of Computational Neuroscience
Intelligent multi-camera video surveillance: A review
Pattern Recognition Letters
A reward-and-punishment-based approach for concept detection using adaptive ontology rules
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
M4L: Maximum margin Multi-instance Multi-cluster Learning for scene modeling
Pattern Recognition
Statistical script independent word spotting in offline handwritten documents
Pattern Recognition
| Hi-index | 0.14 |
Hidden Markov models (HMMs) have become the workhorses of the monitoring and event recognition literature because they bring to time-series analysis the utility of density estimation and the convenience of dynamic time warping. Once trained, the internals of these models are considered opaque; there is no effort to interpret the hidden states. We show that by minimizing the entropy of the joint distribution, an HMM's internal state machine can be made to organize observed activity into meaningful states. This has uses in video monitoring and annotation, low bit-rate coding of scene activity, and detection of anomalous behavior. We demonstrate with models of office activity and outdoor traffic, showing how the framework learns principal modes of activity and patterns of activity change. We then show how this framework can be adapted to infer hidden state from extremely ambiguous images, in particular, inferring 3D body orientation and pose from sequences of low-resolution silhouettes.