%0 Conference Proceedings
%T Estimation of User’s Attention and Awareness in Occlusion-Rich Environments Using RGB-D Cameras
%+ Chiba Institute of Technology (CIT)
%A Imai, Jun-Ichi
%A Nemoto, Masanori
%Z Part 8: ICBAKE 2015 Workshop
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 14th Computer Information Systems and Industrial Management (CISIM)
%C Warsaw, Poland
%Y Khalid Saeed
%Y Władysław Homenda
%I Springer
%3 Computer Information Systems and Industrial Management
%V LNCS-9339
%P 508-518
%8 2015-09-24
%D 2015
%R 10.1007/978-3-319-24369-6_42
%K Attention
%K Awareness
%K Occlusion-rich environment
%K RGB-D Camera
%K View estimation
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X Objective recognition by systems often does not agree with subjective recognition by users. Therefore, it is an important to estimate users’ subjective states appropriately. Especially, in occlusion-rich environments, information on what a user can/cannot see, what he/she pays attention to, and what he/she is aware of or not in the environments is one of important clues to estimate his/her subjective states and predict next actions. In this paper, we propose a system for estimating maps of a user’s attention and awareness in such environments based on the view estimation system using RGB-D cameras. The proposed system can estimate what the user sees, what he/she pays attention to, and what he/she is aware of in environments in pixels of captured images. Experimental results in a real environments show effectiveness of the proposed system. Furthermore, we discuss an extension of the proposed system to estimation for multiple users.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01444493/document
%2 https://inria.hal.science/hal-01444493/file/978-3-319-24369-6_42_Chapter.pdf
%L hal-01444493
%U https://inria.hal.science/hal-01444493
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-9339