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Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
Geometric invariance in computer vision
Geometric invariance in computer vision
3D motion recovery via affine epipolar geometry
International Journal of Computer Vision
Temporal texture and activity recognition
Temporal texture and activity recognition
View-Invariant Analysis of Cyclic Motion
International Journal of Computer Vision
Discrete Mathematics and Its Applications
Discrete Mathematics and Its Applications
A Maximum-Likelihood Approach to Visual Event Classification
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Using Head Movement to Recognize Activity
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Boundaries of Visual Motion
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A framework for heading-guided recognition of human activity
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Artificial Intelligence Review
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Computer Vision and Image Understanding
View Invariance for Human Action Recognition
International Journal of Computer Vision
Beyond Tracking: Modelling Activity and Understanding Behaviour
International Journal of Computer Vision
Integrating multiple levels of zoom to enable activity analysis
Computer Vision and Image Understanding
Detection of stable contacts for human motion analysis
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
A survey of advances in vision-based human motion capture and analysis
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Learning, detection and representation of multi-agent events in videos
Artificial Intelligence
Mixed-state models for nonstationary multiobject activities
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local velocity-adapted motion events for spatio-temporal recognition
Computer Vision and Image Understanding
A differential geometric approach to representing the human actions
Computer Vision and Image Understanding
Extraction of mid-level semantics from gesture videos using a Bayesian network
International Journal of Intelligent Systems Technologies and Applications
Activity representation using 3D shape models
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International Journal of Robotics Research
Extraction and temporal segmentation of multiple motion trajectories in human motion
Image and Vision Computing
Combining Densely Sampled Form and Motion for Human Action Recognition
Proceedings of the 30th DAGM symposium on Pattern Recognition
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AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Social coordination in toddler's word learning: interacting systems of perception and action
Connection Science - Social Learning in Embodied Agents
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Pattern Recognition
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
View invariant gesture recognition using the CSEM SwissRanger SR-2 camera
International Journal of Intelligent Systems Technologies and Applications
Learning to Recognize Activities from the Wrong View Point
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Unsupervised view and rate invariant clustering of video sequences
Computer Vision and Image Understanding
Motion Primitives and Probabilistic Edit Distance for Action Recognition
Gesture-Based Human-Computer Interaction and Simulation
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Interacting with Computers
Efficient duration and hierarchical modeling for human activity recognition
Artificial Intelligence
View Invariant Human Action Recognition Based on Factorization and HMMs
IEICE - Transactions on Information and Systems
A trajectory-based analysis of coordinated team activity in a basketball game
Computer Vision and Image Understanding
Coupled grouping and matching for sign and gesture recognition
Computer Vision and Image Understanding
Video synchronization from human motion using rank constraints
Computer Vision and Image Understanding
Motion trajectory reproduction from generalized signature description
Pattern Recognition
Effective semantic classification of consumer events for automatic content management
WSM '09 Proceedings of the first SIGMM workshop on Social media
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Intelligent Video for Protecting Crowded Sports Venues
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Human action-recognition using mutual invariants
Computer Vision and Image Understanding
Rate-invariant recognition of humans and their activities
IEEE Transactions on Image Processing
Human Activity Recognition Based on $\Re$ Transform and Fourier Mellin Transform
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
View-Invariant Human Action Recognition Using Exemplar-Based Hidden Markov Models
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Behavior classification by eigendecomposition of periodic motions
Pattern Recognition
A survey on vision-based human action recognition
Image and Vision Computing
View-independent human action recognition with Volume Motion Template on single stereo camera
Pattern Recognition Letters
Viewpoint insensitive action recognition using envelop shape
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Semi-latent Dirichlet allocation: a hierarchical model for human action recognition
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View-invariant action recognition using cross ratios across frames
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Event detection using multiple event probability sequences
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Advances in view-invariant human motion analysis: a review
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Trajectory-based representation of human actions
ICMI'06/IJCAI'07 Proceedings of the ICMI 2006 and IJCAI 2007 international conference on Artifical intelligence for human computing
Human behavior classification by analyzing periodic motions
Frontiers of Computer Science in China
Making action recognition robust to occlusions and viewpoint changes
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Robust sequence alignment for actor-object interaction recognition: Discovering actor-object states
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Computer Vision and Image Understanding
A new pose-based representation for recognizing actions from multiple cameras
Computer Vision and Image Understanding
Anomalous video event detection using spatiotemporal context
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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
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HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Semantic classification of human behaviors in video surveillance systems
WSEAS Transactions on Computers
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ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
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GW'05 Proceedings of the 6th international conference on Gesture in Human-Computer Interaction and Simulation
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AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Action recognition using motion primitives and probabilistic edit distance
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
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ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
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ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
3D human action recognition using spatio-temporal motion templates
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
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ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Human activity recognition in videos: a systematic approach
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3D human action recognition using model segmentation
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Mid-level features and spatio-temporal context for activity recognition
Pattern Recognition
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Pattern Recognition Letters
Action recognition using subtensor constraint
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
Recognizing actions across cameras by exploring the correlated subspace
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
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Blind robust watermarking mechanism based on maxima curvature of 3d motion data
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Pattern Recognition Letters
View invariant action recognition using weighted fundamental ratios
Computer Vision and Image Understanding
Exploring discriminative pose sub-patterns for effective action classification
Proceedings of the 21st ACM international conference on Multimedia
Human action recognition based on skeleton splitting
Expert Systems with Applications: An International Journal
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Image and Vision Computing
Hidden Markov Model on a unit hypersphere space for gesture trajectory recognition
Pattern Recognition Letters
Rule-based trajectory segmentation for modeling hand motion trajectory
Pattern Recognition
Recognizing activities in multiple views with fusion of frame judgments
Image and Vision Computing
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Analysis of human perception of motion shows that information for representing the motion is obtained from the dramatic changes in the speed and direction of the trajectory. In this paper, we present a computational representation of human action to capture these dramatic changes using spatio-temporal curvature of 2-D trajectory. This representation is compact, view-invariant, and is capable of explaining an action in terms of meaningful action units called dynamic instants and intervals. A dynamic instant is an instantaneous entity that occurs for only one frame, and represents an important change in the motion characteristics. An interval represents the time period between two dynamic instants during which the motion characteristics do not change. Starting without a model, we use this representation for recognition and incremental learning of human actions. The proposed method can discover instances of the same action performed by different people from different view points. Experiments on 47 actions performed by 7 individuals in an environment with no constraints shows the robustness of the proposed method.