FOCUS: a generalized method for object discovery for robots that observe and interact with humans
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
Toward a Cooperative Recognition of Human Behaviors and Related Objects
Proceedings of the 2006 conference on Information Modelling and Knowledge Bases XVII
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Human action understanding using motion verbs in wordnet
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Hi-index | 0.00 |
In this paper, we propose a novel method for scene recognition using video images through analysis of human activities. We aim at recognizing three kinds of things such as human activities, objects and environment. In the previous method, locations and orientations of objects are estimated using shape models, which are often claimed to be dependent upon individual scene. Instead of shape models, we employ conceptual knowledge about function and/or usage of objects as well as that about human actions. In our method, the location and usage of objects can be identified by observing interaction of human with them.