Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
The nature of statistical learning theory
The nature of statistical learning theory
Recognition of hand gestures with 3D, nonlinear arm movement
Pattern Recognition Letters
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Tracking of Articulated Human Models Using a 3D Shape-from-Silhouette Method
RobVis '01 Proceedings of the International Workshop on Robot Vision
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition-based gesture spotting in video games
Pattern Recognition Letters
Recovering 3D Human Pose from Monocular Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Silhouette lookup for monocular 3D pose tracking
Image and Vision Computing
Simultaneous pose recovery and camera registration from multiple views of a walking person
Image and Vision Computing
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
Outdoor recognition at a distance by fusing gait and face
Image and Vision Computing
People detection and tracking using stereo vision and color
Image and Vision Computing
Visual recognition of pointing gestures for human-robot interaction
Image and Vision Computing
Three dimensional gesture recognition using modified matching algorithm
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Nonlinear body pose estimation from depth images
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Effect of silhouette quality on hard problems in gait recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Identification of humans using gait
IEEE Transactions on Image Processing
Recognition of gestures in Pakistani sign language using fuzzy classifier
ISCGAV'08 Proceedings of the 8th conference on Signal processing, computational geometry and artificial vision
Multi-camera people tracking using evidential filters
International Journal of Approximate Reasoning
People detection and tracking with multiple stereo cameras using particle filters
Journal of Visual Communication and Image Representation
Shape from silhouette using Dempster-Shafer theory
Pattern Recognition
A statistical feature based decision tree approach for hand gesture recognition
Proceedings of the 7th International Conference on Frontiers of Information Technology
Daily human activity recognition using depth silhouettes and R transformation for smart home
ICOST'11 Proceedings of the 9th international conference on Toward useful services for elderly and people with disabilities: smart homes and health telematics
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Shape from pairwise silhouettes for plan-view map generation
Image and Vision Computing
Automatic scene calibration for detecting and tracking people using a single camera
Engineering Applications of Artificial Intelligence
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This paper, evaluates the influence of depth information on the gesture recognition process. We propose depth silhouettes, a natural extension of the binary silhouette concept, as a mechanism to incorporate depth information for gesture recognition. Using depth silhouettes, we define extensions of three classic techniques employed previously for gesture recognition with monocular vision. These include: (a) silhouette compression using PCA and learning with HMM; (b) an exemplar-based gesture recognition using HMM; and (c) temporal templates that in this work are compressed using PCA and learned with SVM. The results obtained show that, independently of the technique employed, the use of depth silhouettes increases the success significantly. Additionally, we show how the best results are obtained through the combined use of PCA and HMM.