Title :
Feature extractions for estimating human behaviors via a binocular vision head
Author :
Watanabe, Keigo ; Izumi, Kiyotaka ; Kamohara, Kohei ; Yamada, Eisuke
Author_Institution :
Saga Univ., Saga
Abstract :
We try to construct an estimation system of human behaviors, confining only the human behaviors that a robot vision head has met on, by extracting valuable information on the human behaviors from the binocular camera. Thus, in the present approach the human actions and objects related to the human behaviors are estimated by the images obtained from the camera, and their information are utilized for the human behavior estimation. Here, assume that, for the present estimation system of human behaviors, the information on a two-dimensional map that the human acts and behaves is known in advance and available.
Keywords :
behavioural sciences computing; cameras; computer vision; feature extraction; pose estimation; robot vision; binocular camera vision head; feature extraction; human behavior estimation system; human posture estimation; robot vision head; Cameras; Data mining; Feature extraction; Flowcharts; Head; Humans; Intelligent sensors; Object detection; Robot kinematics; Robot vision systems; Binocular vision head; Estimation of human behaviors; Feature extraction of human postures;
Conference_Titel :
Control, Automation and Systems, 2007. ICCAS '07. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-6-2
Electronic_ISBN :
978-89-950038-6-2
DOI :
10.1109/ICCAS.2007.4406976