Proceedings ArticleDOI
Planar shape classification using hidden Markov model
TLDR
A planar shape-recognition approach is presented which is based on hidden Markov models and autoregressive parameters and explores the characteristic relations between consecutive segments to make classification at a finer level.Citations
More filters
Proceedings ArticleDOI
Recognizing human action in time-sequential images using hidden Markov model
Junji Yamato,J. Ohya,K. Ishii +2 more
TL;DR: The recognition rate is improved by increasing the number of people used to generate the training data, indicating the possibility of establishing a person-independent action recognizer.
Dissertation
Visual Recognition of American Sign Language Using Hidden Markov Models.
TL;DR: Using hidden Markov models (HMM's), an unobstrusive single view camera system is developed that can recognize hand gestures, namely, a subset of American Sign Language (ASL), achieving high recognition rates for full sentence ASL using only visual cues.
Journal ArticleDOI
Controlling eye movements with hidden Markov models
Raymond D. Rimey,Chris Brown +1 more
TL;DR: This work proposes these augmented HMMs as a theory of adaptive skill acquisition and generation, and gives an example, the what-where-AHMM, which creates a hybrid skill from separate skills based on object location and object identity.
Journal Article
Sensei, a real-time recognition, feedback and training system for T'ai chi gestures
TL;DR: Thesis (M.S.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 1997.
Journal ArticleDOI
Image analysis and computer vision: 1991
TL;DR: A bibliography of nearly 1200 references related to computer vision and image analysis, arranged by subject matter is presented, covering topics including architectures; computational techniques; feature detection and segmentation; image analysis; and motion.
References
More filters
Journal ArticleDOI
An introduction to hidden Markov models
TL;DR: The purpose of this tutorial paper is to give an introduction to the theory of Markov models, and to illustrate how they have been applied to problems in speech recognition.
Book
Robot Vision
TL;DR: Robot Vision as discussed by the authors is a broad overview of the field of computer vision, using a consistent notation based on a detailed understanding of the image formation process, which can provide a useful and current reference for professionals working in the fields of machine vision, image processing, and pattern recognition.
Journal ArticleDOI
Fourier Descriptors for Plane Closed Curves
Charles T. Zahn,Ralph Roskies +1 more
TL;DR: It is established that the Fourier series expansion is optimal and unique with respect to obtaining coefficients insensitive to starting point and the amplitudes are pure form invariants as well as are certain simple functions of phase angles.
Journal ArticleDOI
Computer Processing of Line-Drawing Images
TL;DR: Various forms of line drawing representation are described, different schemes of quantization are compared, and the manner in which a line drawing can be extracted from a tracing or a photographic image is reviewed.
Journal ArticleDOI
Scale-Based Description and Recognition of Planar Curves and Two-Dimensional Shapes
F. Mokhtarian,Alan K. Mackworth +1 more
TL;DR: The problem of finding a description, at varying levels of detail, for planar curves and matching two such descriptions is posed and solved and the result is the ``generalized scale space'' image of a planar curve which is invariant under rotation, uniform scaling and translation of the curve.