A sensory grammar for inferring behaviors in sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
Combining body sensors and visual sensors for motion training
Proceedings of the 2005 ACM SIGCHI International Conference on Advances in computer entertainment technology
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
Boosted string representation and its application to video surveillance
Pattern Recognition
International Journal of Computer Vision
Motion trajectory reproduction from generalized signature description
Pattern Recognition
Learning to connect language and perception
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Group interaction analysis in dynamic context
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Analysis of multi-agent activity using petri nets
Pattern Recognition
Visual affect recognition
Computer Vision and Image Understanding
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
Skin colour segmentation based 2D and 3D human pose modelling using Discrete Wavelet Transform
Pattern Recognition and Image Analysis
Shape-Motion based athlete tracking for multilevel action recognition
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Interacting activity recognition using hierarchical durational-state dynamic bayesian network
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Human action recognition using pyramid vocabulary tree
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Expressing technological metaphors in dance using structural illusion from embodied motion
Proceedings of the 9th ACM Conference on Creativity & Cognition
Recursive non-rigid structure from motion with online learned shape prior
Computer Vision and Image Understanding
Modeling multi-object interactions using "string of feature graphs"
Computer Vision and Image Understanding
Gesture recognition using depth images
Proceedings of the 15th ACM on International conference on multimodal interaction
Robust human action recognition scheme based on high-level feature fusion
Multimedia Tools and Applications
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Processing of image sequences has progressed from simple structure from motion paradigm to the recognition of actions / interactions as events. Understanding human activities in video has many potential applications including automated surveillance, video archival/retrieval, medical diagnosis, sports analysis, and human-computer interaction. Understanding human activities involves various steps of low-level vision processing such as segmentation, tracking, pose recovery, and trajectory estimation as well as high-level processing tasks such as body modeling and representation of action. While low-level processing has been actively studied, high-level processing is just beginning to receive attention. This is partly because high-level processing depends on the results of low-level processing. However, high-level processing also requires some independent and additional approaches and methodologies. In this paper, we focus on the following aspects of high-level processing: (1) human body modeling, (2) level of detail needed to understand human actions, (3) approaches to human action recognition, and (4) high-level recognition schemes with domain knowledge. The review is illustrated by examples of each of the areas discussed, including recent developments in our work on understanding human activities.