Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parametric Hidden Markov Models for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
An HMM-Based Threshold Model Approach for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Hierarchical Hidden Markov Model: Analysis and Applications
Machine Learning
Training Hidden Markov Models with Multiple Observations-A Combinatorial Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bayesian Computer Vision System for Modeling Human Interactions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning variable-length Markov models of behavior
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
Human Activity Recognition Using Multidimensional Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Coupled hidden Markov models for complex action recognition
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Invariant features for 3-D gesture recognition
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
A Probabilistic Sensor for the Perception of Activities
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Recognizing Human Behavior Using Universal Eigenspace
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Layered Representations for Human Activity Recognition
ICMI '02 Proceedings of the 4th IEEE International Conference on Multimodal Interfaces
Learning to Recognize Human Action Sequences
ICDL '02 Proceedings of the 2nd International Conference on Development and Learning
Recognition of Group Activities using Dynamic Probabilistic Networks
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Understanding human behavior from motion imagery
Machine Vision and Applications - Special issue: Human modeling, analysis, and synthesis
DETER: detection of events for threat evaluation and recognition
Machine Vision and Applications
Recognizing Human Actions: A Local SVM Approach
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Automated Recognition of Highly Complex Human Behavior
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Articulated Motion Modeling for Activity Analysis
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 1 - Volume 01
View Invariance for Human Action Recognition
International Journal of Computer Vision
StockMarket Forecasting Using Hidden Markov Model: A New Approach
ISDA '05 Proceedings of the 5th International Conference on Intelligent Systems Design and Applications
Bayesian Classification of Task-Oriented Actions Based on Stochastic Context-Free Grammar
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Dynamical Motion Vocabularies for Kinematic Tracking and Activity Recognition
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Kernel-based Recognition of Human Actions Using Spatiotemporal Salient Points
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
HHMM Based Recognition of Human Activity*This paper was presented at MVA2005.
IEICE - Transactions on Information and Systems
Human body pose detection using Bayesian spatio-temporal templates
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
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
Recovering the Basic Structure of Human Activities from a Video-Based Symbol String
WMVC '07 Proceedings of the IEEE Workshop on Motion and Video Computing
Coupled Hidden Semi Markov Models for Activity Recognition
WMVC '07 Proceedings of the IEEE Workshop on Motion and Video Computing
Recognition of human behavior by space-time silhouette characterization
Pattern Recognition Letters
Enriching a motion database by analogous combination of partial human motions
The Visual Computer: International Journal of Computer Graphics
View-Invariant Human Action Detection Using Component-Wise HMM of Body Parts
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Behaviour Analysis and Prediction in Image Sequences Using Rough Sets
IMVIP '08 Proceedings of the 2008 International Machine Vision and Image Processing Conference
Discriminative optical flow tensor for video semantic analysis
Computer Vision and Image Understanding
Detecting abnormal human behaviour using multiple cameras
Signal Processing
Compact representation and probabilistic classification of human actions in videos
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Space-Time Shapelets for Action Recognition
WMVC '08 Proceedings of the 2008 IEEE Workshop on Motion and video Computing
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Hierarchical hidden Markov models with general state hierarchy
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Human Action Recognition by Semilatent Topic Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-agent activity recognition using observation decomposedhidden Markov models
Image and Vision Computing
Structural hidden Markov models based on stochastic context-free grammars
Control and Intelligent Systems
n-grams of action primitives for recognizing human behavior
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Human action recognition using distribution of oriented rectangular patches
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Human motion recognition using Isomap and dynamic time warping
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Hierarchical recognition of daily human actions based on continuous hidden Markov models
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
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
Modeling individual and group actions in meetings with layered HMMs
IEEE Transactions on Multimedia
Audio-Visual Event Recognition in Surveillance Video Sequences
IEEE Transactions on Multimedia
A survey of video datasets for human action and activity recognition
Computer Vision and Image Understanding
Fast background subtraction using static and dynamic gates
Artificial Intelligence Review
Hidden Markov model for human to computer interaction: a study on human hand gesture recognition
Artificial Intelligence Review
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The ability to predict the intentions of people based solely on their visual actions is a skill only performed by humans and animals. This requires segmentation of items in the field of view, tracking of moving objects, identifying the importance of each object, determining the current role of each important object individually and in collaboration with other objects, relating these objects into a predefined scenario, assessing the selected scenario with the information retrieve, and finally adjusting the scenario to better fit the data. This is all accomplished with great accuracy in less than a few seconds. The intelligence of current computer algorithms has not reached this level of complexity with the accuracy and time constraints that humans and animals have, but there are several research efforts that are working towards this by identifying new algorithms for solving parts of this problem. This survey paper lists several of these efforts that rely mainly on understanding the image processing and classification of a limited number of actions. It divides the activities up into several groups and ends with a discussion of future needs.