Recognition of Human Behaviour using Stereo Vision and Data Gloves
Koichi Ogawara, Soshi Iba, Tomikazu Tanuki, Yoshihiro Satō, Akira Saegusa, Hiroshi Kimura, Katsushi Ikeuchi · 2000
This paper presents a novel method of constructing a human behaviour model by attention point (AP) analysis. The AP analysis consists of two steps. At the first step, it broadly observes human behaviour, constructs rough hu-man behaviour model and finds APs which require detailed analysis. Then at the second step, by applying time-consuming analysis on APs in the same human behaviour, it can en-hance the human behaviour model. This human behaviour model is highly abstracted and is able to change the de-gree of abstraction adapting to the environment so as to be applicable in a different environment. We describe this method and its implementation using data gloves and a stereo vision system. We also show an experimental result in which a real robot observed and per-formed the same human behaviour successfully in a differ-ent environment using this model. 1