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Yuri A. Ivanov
Researcher at Massachusetts Institute of Technology
Publications - 18
Citations - 2248
Yuri A. Ivanov is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Parsing & Probabilistic logic. The author has an hindex of 13, co-authored 18 publications receiving 2227 citations.
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Journal ArticleDOI
Recognition of visual activities and interactions by stochastic parsing
Yuri A. Ivanov,Aaron F. Bobick +1 more
TL;DR: A probabilistic syntactic approach to the detection and recognition of temporally extended activities and interactions between multiple agents and how the system correctly interprets activities of multiple interacting objects is demonstrated.
Journal ArticleDOI
The KidsRoom: A Perceptually-Based Interactive and Immersive Story Environment
Aaron F. Bobick,Stephen S. Intille,James W. Davis,Freedom Baird,Claudio S. Pinhanez,Lee W. Campbell,Yuri A. Ivanov,Arjan Schütte,Andrew D. Wilson +8 more
TL;DR: It is believed that the KidsRoom is the first multi-person, fully-automated, interactive, narrative environment ever constructed using non-encumbering sensors.
Proceedings ArticleDOI
Integrated learning for interactive synthetic characters
Bruce Blumberg,Marc Downie,Yuri A. Ivanov,Matt Berlin,Michael Patrick Johnson,Bill Tomlinson +5 more
TL;DR: An autonomous animated dog is built that can be trained with a technique used to train real dogs called "clicker training" and capabilities demonstrated include being trained to recognize and use acoustic patterns as cues for actions, as well as to synthesize new actions from novel paths through its motion space.
Journal ArticleDOI
Fast Lighting Independent Background Subtraction
TL;DR: A simple method of fast background subtraction based upon disparity verification that is invariant to arbitrarily rapid run-time changes in illumination that is easily implemented in real-time on conventional hardware.
Proceedings ArticleDOI
Action recognition using probabilistic parsing
Aaron F. Bobick,Yuri A. Ivanov +1 more
TL;DR: A new approach to the recognition of temporal behaviours and activities is presented that provides techniques for generating a discrete symbol stream from continuous low level detectors and for enforcing temporal exclusion constraints during parsing.