NDLI: Data fusion for person identification in people tracking

Content Provider	IEEE Xplore Digital Library
Author	Kraussling, A. Schulz, D.
Copyright Year	2008
Description	Author affiliation: Dept. of Commun.,Inf. Process. & Ergonomics, Res. Establ. of Appl. Sci., Wachtberg (Kraussling, A.; Schulz, D.)
Abstract	This article presents four different approaches for identifying persons during tracking. The ability to keep track of people is essential for mobile robots which provide services to humans. The tracking task is usually carried out using range measuring devices like laser range sensors, which provide spatial information only. They allow to estimate the trajectories of objects quite accurately, but they do not allow to directly distinguish between the objects being observed. The tracking algorithms, therefore, tend to confuse tracks in difficult situations, like persons walking in close proximity to each other. The techniques presented in this article mitigate this problem by fusing the spatial measurements with different types of complimentary sensor data. The first technique uses colour information extracted from camera images to distinguish between persons, based on the colour of the clothes they wear. The second technique uses reflectance intensities, which can directly be provided by the laser range sensors for this purpose. The third method is again based on camera information, but it employs a probabilistic shape and motion model for each person it tracks, in order to distinguish between them. Finally, we present an approach that uses a network of dedicated sensors, which directly transmit identification information for each person. The aim of this paper is to give a comparative overview of these four methods, and to discuss their drawbacks and advantages.
Starting Page	1
Ending Page	8
File Size	8660966
Page Count	8
File Format	PDF
ISBN	9783800730926
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-30
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	ISIF (Intl Society of Information Fusion)
Subject Keyword	Cameras Image color analysis Distance measurement Measurement by laser beam Robots Lasers Sensors person identification People tracking data fusion registration
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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