A State-Based Approach to the Representation and Recognition of Gesture
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of computer vision-based human motion capture
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
View-Invariant Representation and Recognition of Actions
International Journal of Computer Vision
Learning and Recognizing Human Dynamics in Video Sequences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Understanding Purposeful Human Motion
MPEOPLE '99 Proceedings of the IEEE International Workshop on Modelling People
Recognition of human body motion using phase space constraints
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
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
Real-Time Recognition of Human Gestures for 3D Interaction
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Motion Primitives and Probabilistic Edit Distance for Action Recognition
Gesture-Based Human-Computer Interaction and Simulation
Toward natural interaction through visual recognition of body gestures in real-time
Interacting with Computers
Using hidden Markov models for recognizing action primitives in complex actions
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
n-grams of action primitives for recognizing human behavior
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Behavior histograms for action recognition and human detection
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Towards semantic segmentation of human motion sequences
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
Robust sequence alignment for actor-object interaction recognition: Discovering actor-object states
Computer Vision and Image Understanding
Action recognition using motion primitives and probabilistic edit distance
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Recognizing action primitives in complex actions using hidden markov models
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Multiscale detection of gesture patterns in continuous motion trajectories
GW'09 Proceedings of the 8th international conference on Gesture in Embodied Communication and Human-Computer Interaction
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In the last decade speech processing has been applied in commercially available products. One of the key reasons for its success is the identification and use of an underlying set of generic symbols (phonemes) constituting all speech. In this work we follow the same approach, but for the problem of human body gestures. That is, the topic of this paper is how to define a framework for automatically finding primitives for human body gestures. This is done by considering a gesture as a trajectory and then searching for points where the density of the training data is high. The trajectories are re-sampled to enable a direct comparison between the samples of each trajectory, and enable time invariant comparisons. This work demonstrates and tests the primitive's ability to reconstruct sampled trajectories. Promising test results are shown for samples from different test persons performing gestures from a small one armed gesture set.