A novel technique for indexing video surveillance data
IWVS '03 First ACM SIGMM international workshop on Video surveillance
A PCA-based similarity measure for multivariate time series
Proceedings of the 2nd ACM international workshop on Multimedia databases
Simultaneous Localization and Recognition of Dynamic Hand Gestures
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Motion analysis for human-robot interaction
MMACTE'05 Proceedings of the 7th WSEAS International Conference on Mathematical Methods and Computational Techniques In Electrical Engineering
Translation and scale-invariant gesture recognition in complex scenes
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Inaccuracies of Shape Averaging Method Using Dynamic Time Warping for Time Series Data
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
Towards automated large vocabulary gesture search
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
A Similarity Measure for Vision-Based Sign Recognition
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services
Real-time multiview recognition of human gestures by distributed image processing
Journal on Image and Video Processing - Special issue on fast and robust methods for multiple-view vision
Assessment of error in air quality models using dynamic time warping
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics
A real time vision-based hand gestures recognition system
ISICA'10 Proceedings of the 5th international conference on Advances in computation and intelligence
Analysis of pattern recognition techniques for in-air signature biometrics
Pattern Recognition
Robust player gesture spotting and recognition in low-resolution sports video
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
A hybrid HMM/DPA adaptive gesture recognition method
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
Comparing gesture recognition accuracy using color and depth information
Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments
System and analysis used for a dynamic facial speech deformation model
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Exploiting ambient illumination to locate and recognise user behaviour in enclosed environments
Personal and Ubiquitous Computing
Position-invariant, real-time gesture recognition based on dynamic time warping
Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
Spatially unconstrained, gesture-based human-robot interaction
Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
One-shot learning gesture recognition from RGB-D data using bag of features
The Journal of Machine Learning Research
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Abstract: Considerable effort has been put towards developing intelligent and natural interfaces between users and computer systems. This is done by means of a variety of modes of information (visual, audio, pen, etc.) either used individually or in combination. In this work, we focus on the visual sensory information to recognize human activity in form of hand-arm movements from a small, predefined vocabulary. We accomplish this task by means of a matching technique by determining the distance between the unknown input and a set of previously defined templates. A dynamic time warping (DTW) algorithm is used to perform the time alignment and normalization by computing a temporal transformation allowing the two signals to be matched. The system is trained with finite video sequences of single gesture performances whose start and end point are accurately known. Preliminary experiments are accomplished off-line and result in a recognition accuracy of up to 92%.