The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation of Normalized Edit Distance and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion segmentation and pose recognition with motion history gradients
Machine Vision and Applications - Special issue: IEEE WACV
An Appearance-Based Representation of Action
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
A Full-Body Gesture Database for Automatic Gesture Recognition
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Free viewpoint action recognition using motion history volumes
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Canonical Correlation Analysis of Video Volume Tensors for Action Categorization and Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Object trajectory clustering via tensor analysis
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Action Recognition from One Example
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust hand gesture recognition based on finger-earth mover's distance with a commodity depth camera
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Human action segmentation and recognition via motion and shape analysis
Pattern Recognition Letters
Recognizing Human Actions by Learning and Matching Shape-Motion Prototype Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion history image: its variants and applications
Machine Vision and Applications
Hi-index | 0.10 |
This paper proposes a novel approach for gesture recognition from motion depth images based on template matching. Gestures can be represented with image templates, which in turn can be used to compare and match gestures. The proposed method uses a single example of an action as a query to find similar matches and thus termed one-shot-learning gesture recognition. It does not require prior knowledge about actions, foreground/background segmentation, or any motion estimation or tracking. The proposed method makes a novel approach to separate different gestures from a single video. Moreover, this method is based on the computation of space-time descriptors from the query video which measures the likeness of a gesture in a lexicon. These descriptor extraction methods include the standard deviation of the depth images of a gesture as well as the motion history image. Furthermore, two dimensional discrete Fourier transform is employed to reduce the effect of camera shift. The comparison is done based on correlation coefficient of the image templates and an intelligent classifier is proposed to ensure better recognition accuracy. Extensive experimentation is done on a very complicated and diversified dataset to establish the effectiveness of employing the proposed methods.