Computational Problems in Image Analysis, Multiple Object Recognition, and Speech Recognition

During the period of the grant, 2/1/93 - 1/15/95, we developed: (1) a Bayesian framework for object detection and tracking; the algorithm was successfully tested on real-data in the detection and tracking of vehicles on a highway: (2) a recognition algorithm based on stochastic hierarchical, context...

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Bibliographic Details
Main Author: Gidas, Basilis
Format: Report
Language:English
Subjects:
ACOUSTIC SIGNALS
ALGORITHMS
BAYES THEOREM
COMPUTATIONS
Cybernetics
DATA MANAGEMENT
DYNAMIC PROGRAMMING
HEURISTIC METHODS
IMAGE MOTION COMPENSATION
IMAGE PROCESSING
MATHEMATICAL MODELS
NONPARAMETRIC STATISTICS
OPTIMIZATION
PATTERN RECOGNITION
PREDICTIONS
SPEECH RECOGNITION
STOCHASTIC PROCESSES
TARGET DETECTION
TARGET RECOGNITION
TRACKING
VEHICLES
WAVELET TRANSFORMS
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Summary:During the period of the grant, 2/1/93 - 1/15/95, we developed: (1) a Bayesian framework for object detection and tracking; the algorithm was successfully tested on real-data in the detection and tracking of vehicles on a highway: (2) a recognition algorithm based on stochastic hierarchical, context-free-grammars type, object representation; the study has required the development of feasible pruning techniques for dynamic programming; (3) a new acoustic model for speech recognition based on a wavelet representation of the acoustic-signal, and nonparametric prediction techniques. Availability: U.S. Army Research Office, P.O. Box 12211, Research Triangle Park, NC 27709-2211. No copies furnished by DTIC/NTIS.