Human motion analysis: a review
Computer Vision and Image Understanding
A framework for recognizing multi-agent action from visual evidence
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
A Bayesian Computer Vision System for Modeling Human Interactions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Visual Activities and Interactions by Stochastic Parsing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
Human Action Detection Using PNF Propagation of Temporal Constraints
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
GROUP BEHAVIOR RECOGNITION WITH MULTIPLE CAMERAS
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Recognition of Group Activities using Dynamic Probabilistic Networks
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Video-based event recognition: activity representation and probabilistic recognition methods
Computer Vision and Image Understanding - Special issue on event detection in video
MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting group activities using rigidity of formation
Proceedings of the 13th annual ACM international conference on Multimedia
Machine Learning
Detection and Tracking of Moving Vehicles in Crowded Scenes
WMVC '07 Proceedings of the IEEE Workshop on Motion and Video Computing
Event Modeling and Recognition Using Markov Logic Networks
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Semantic Representation and Recognition of Continued and Recursive Human Activities
International Journal of Computer Vision
Recognition of High-level Group Activities Based on Activities of Individual Members
WMVC '08 Proceedings of the 2008 IEEE Workshop on Motion and video Computing
CASEE: a hierarchical event representation for the analysis of videos
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Grounding the lexical semantics of verbs in visual perception using force dynamics and event logic
Journal of Artificial Intelligence Research
Automatic video interpretation: a novel algorithm for temporal scenario recognition
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Location-based activity recognition using relational Markov networks
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
BLOG: probabilistic models with unknown objects
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Discriminative probabilistic models for relational data
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Modeling individual and group actions in meetings with layered HMMs
IEEE Transactions on Multimedia
Machine Recognition of Human Activities: A Survey
IEEE Transactions on Circuits and Systems for Video Technology
A suspicious behaviour detection using a context space model for smart surveillance systems
Computer Vision and Image Understanding
Video event representation and inference on And-Or graph
Computer Animation and Virtual Worlds
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
Learning human interaction by interactive phrases
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Cost-Sensitive top-down/bottom-up inference for multiscale activity recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
A unified framework for multi-target tracking and collective activity recognition
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
International Journal of Computer Vision
Tracking with a mixed continuous-discrete Conditional Random Field
Computer Vision and Image Understanding
Hierarchical multi-channel hidden semi Markov graphical models for activity recognition
Computer Vision and Image Understanding
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This paper describes a stochastic methodology for the recognition of various types of high-level group activities. Our system maintains a probabilistic representation of a group activity, describing how individual activities of its group members must be organized temporally, spatially, and logically. In order to recognize each of the represented group activities, our system searches for a set of group members that has the maximum posterior probability of satisfying its representation. A hierarchical recognition algorithm utilizing a Markov chain Monte Carlo (MCMC)-based probability distribution sampling has been designed, detecting group activities and finding the acting groups simultaneously. The system has been tested to recognize complex activities such as `a group of thieves stealing an object from another group' and `a group assaulting a person'. Videos downloaded from YouTube as well as videos that we have taken are tested. Experimental results show that our system recognizes a wide range of group activities more reliably and accurately, as compared to previous approaches.