Shape tracking and production using hidden Markov models

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 15, Issue 1, 2001, Pages 197-221

  Caelli, Terry ^a   Mccabe, Andrew ^b   Briscoe, Garry ^c  

^a UNIVERSITY OF ALBERTA   (Canada)

^b ieWild Inc   (United States)

^c UNIVERSITY OF WISCONSIN OSHKOSH   (United States)

Author keywords

Feature extraction; Hidden Markov Models; Learning; Pattern recognition; Scene understanding; Tracking human performance

Indexed keywords

FEATURE EXTRACTION; LEARNING ALGORITHMS; MARKOV PROCESSES; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; TRACKING (POSITION);

HIDDEN MARKOV MODELS (HMM); SHAPE STATES; VITERBI METHOD;

IMAGE ANALYSIS;

EID: 0035247351     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001401000794     Document Type: Article

References (18)

1. Connected and degraded text recognition using hidden Markov model
2. Learning and recognizing human dynamics in video sequences
3. Integration of structural and statistical information for unconstrained handwritten numerical recognition
4. Factorial hidden Markov models
5. Applications of machine learning to intensity-based 3d object recognition
6. An integrated approach to shape and color-based image retrieval of rotated objects using hidden Markov models
7. Off-line recognition of large-set handwritten characters with multiple hidden Markov models
8. Efficient implementation of the fuzzy c-means clustering algorithms
9. A tutorial on hidden Markov models and selected applications in speech recognition
10. Learning saccadic eye movements using multiscale spatial filters
11. A model of attention-guided visual perception and recognition
12. Steerable wedge filters for local orientation analysis
13. A model-based neural network for edge characterization
14. A validity measure for fuzzy clustering