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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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| creator | Gidas, Basilis |
| description | 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. |
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Availability: U.S. Army Research Office, P.O. Box 12211, Research Triangle Park, NC 27709-2211. No copies furnished by DTIC/NTIS.</description><language>eng</language><subject>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</subject><creationdate>1995</creationdate><rights>Approved for public release; distribution is unlimited.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,780,885,27558,27559</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA295704$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Gidas, Basilis</creatorcontrib><creatorcontrib>BROWN UNIV PROVIDENCE RI</creatorcontrib><title>Computational Problems in Image Analysis, Multiple Object Recognition, and Speech Recognition</title><description>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.
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Availability: U.S. Army Research Office, P.O. Box 12211, Research Triangle Park, NC 27709-2211. No copies furnished by DTIC/NTIS.</abstract><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | DTIC Technical Reports |
| 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 |
| title | Computational Problems in Image Analysis, Multiple Object Recognition, and Speech Recognition |
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