Japanese / English

Detail of Publication

Text Language Japanese
Authors Hiroshi Miki,Atsuhiro Kojima,Takao Miyamoto,Koichi Kise
Title Object Recognition Based on Human Actions by Using DBNs
Journal Meeting on Image Recognition and Understanding 2008
Presentation number IS3-3
Pages pp.877-884
Reviewed or not Not reviewed
Month & Year July 2008
Abstract On conventional research for enviornment recognition which is necessary for robots working autonomously in an indoor enviornment, most of previous methods are based on shape models. In this paper, we propose a method for object recognition focused on the relationship between human actions and objects. Such relationship becomes obvious on human action patterns when he or she handles an object. To estimate object categories by using action patterns, we represent such relationship probabilistically in Dynamic Bayesian Networks (DBN). By learning human actions toward objects statistically, objects can be recognized. Finally, we performed experiments and confirmed that objects can be recognized without shape models.
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