Finding patterns in time series: a dynamic programming approach
Advances in knowledge discovery and data mining
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Human motion analysis: a review
Computer Vision and Image Understanding
Parametric Hidden Markov Models for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning and Recognizing Human Dynamics in Video Sequences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
3-D model-based tracking of humans in action: a multi-view approach
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Cardboard People: A Parameterized Model of Articulated Image Motion
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
DigitEyes: Vision-Based Human Hand Tracking
DigitEyes: Vision-Based Human Hand Tracking
Motion-Based Recognition of Pedestrians
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Exact indexing of dynamic time warping
Knowledge and Information Systems
Hybrid Models for Human Motion Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Analyzing Human Movements from Silhouettes Using Manifold Learning
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Inferring 3D body pose from silhouettes using activity manifold learning
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
IEEE Transactions on Circuits and Systems for Video Technology
A survey on vision-based human action recognition
Image and Vision Computing
A Hilbert warping method for handwriting gesture recognition
Pattern Recognition
Automated recognition of sequential patterns in captured motion streams
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Robust sequence alignment for actor-object interaction recognition: Discovering actor-object states
Computer Vision and Image Understanding
Automatic human action recognition in videos by graph embedding
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Survey on classifying human actions through visual sensors
Artificial Intelligence Review
Model-based recognition of human actions by trajectory matching in phase spaces
Image and Vision Computing
Human action segmentation and classification based on the Isomap algorithm
Multimedia Tools and Applications
Optimal operator space pursuit: a framework for video sequence data analysis
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Common-sense reasoning for human action recognition
Pattern Recognition Letters
Charting-based subspace learning for video-based human action classification
Machine Vision and Applications
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In this paper, we address the problem of recognizing human motion from videos. Human motion recognition is a challenging computer vision problem. In the past ten years, a number of successful approaches based on nonlinear manifold learning have been proposed. However, little attention has been given to the use of isometric feature mapping (Isomap) for human motion recognition. Our contribution in this paper is twofold. First, we demonstrate the applicability of Isomap for dimensionality reduction in human motion recognition. Secondly, we show how an adapted dynamic time warping algorithm (DTW) can be successfully used for matching motion patterns of embedded manifolds. We compare our method to previous works on human motion recognition. Evaluation is performed utilizing an established baseline data set from the web for direct comparison. Finally, our results show that our Isomap-DTW method performs very well for human motion recognition.