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2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06)
Behavior Recognition in Human Object Interactions with a Task Model
Sydney, NSW, Australia
November 22-November 24
ISBN: 0-7695-2688-8
Weilie Yi, University of Rochester, USA
Dana H. Ballard, University of Rochester, USA
Behavior recognition can be greatly levitated by a model of the task with which the behavior is associated. We present a Markovian task model that captures the temporal relations between subtasks, and provides prior information that helps behavior recognition from simple and noisy sensory data. A Dynamic Bayesian Network is used to integrate multi-model evidence and infer underlying task states. Experiments demonstrate that this system can recognize human behavior in everyday tasks such as making sandwiches.
Citation:
Weilie Yi, Dana H. Ballard, "Behavior Recognition in Human Object Interactions with a Task Model," avss, pp.64, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006
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