NDLI: Object localization and tracking based on multiple sensor fusion in intelligent home

Content Provider	IEEE Xplore Digital Library
Author	Jianqin Yin Guohui Tian Guodong Li
Copyright Year	2014
Description	Author affiliation: Sch. of Inf. Sci. & Eng., Univ. of Jinan, Jinan, China (Jianqin Yin) \|\| Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China (Guohui Tian; Guodong Li)
Abstract	A novel scheme for object localization and tracking under family environment is presented based on fusion of multiple sensors, which include two laser sensors and camera sensors. The two laser sensors and two cameras are used to locate the object separately, and multiple sensors probability data association fusion algorithm is used to track the objects. Firstly, object detection is realized by laser sensors and vision sensors separately. Secondly, the laser data is fused by Extended Kalman Filter. To obtain the vision location results, background model is built by adaptive background updating based on motion history images. Background subtraction is used to acquire the original location result, which is filtered by Kalman Filter. Finally, multiple sensors probability data association fusion algorithm is used to fuse the different kinds of data. Experimental results show that the scheme can efficiently solve the problem of object localization and tracking.
Starting Page	5266
Ending Page	5270
File Size	3825354
Page Count	5
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6853120
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object Localization and Tracking Multiple Sensors Fusion Robot sensing systems Laser modes Cameras Educational institutions Intelligent Space Laser fusion Covariance matrices
Content Type	Text
Resource Type	Article

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