Ceiling camera based environment objects recognition of intelligent space

Author

Li, Xiaolei ; Lu, Fei ; Tian, Guohui ; Huang, Bin ; Zhao, Shoupeng

Author_Institution

Sch. of Control Sci. & Eng., Shandong Univ., Jinan

fYear

2008

fDate

1-3 Sept. 2008

Firstpage

1512

Lastpage

1516

Abstract

An efficient objects identification method of intelligent space based on ceiling camera is proposed. First, the environment segmentation method is introduced, and we can get several labeled connected components. Then, a color-based Gaussian mixture model (GMM) method is used for recognizing the components as the objects accordingly. At last, the experiment shows the feasibility and efficiency of the method.

Keywords

Gaussian processes; home automation; image colour analysis; image segmentation; image sensors; object recognition; service robots; ceiling camera based environment; color-based Gaussian mixture model; environment segmentation method; home service robot; intelligent space; object identification method; object recognition; Filters; Image edge detection; Image segmentation; Intelligent robots; Object recognition; Orbital robotics; Robot kinematics; Robot vision systems; Service robots; Smart cameras; Ceiling camera; Intelligent space; Object recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4244-2502-0

Electronic_ISBN

978-1-4244-2503-7

Type

conf

DOI

10.1109/ICAL.2008.4636393

Filename

4636393