NDLI: Learning to recognize people in a smart environment

Content Provider	IEEE Xplore Digital Library
Author	Ting Yu Yi Yao Dashan Gao Tu, P.
Copyright Year	2011
Description	Author affiliation: GE Global Research, One Research Circle, Niskayuna, NY, USA (Ting Yu; Yi Yao; Dashan Gao; Tu, P.)
Abstract	In this paper, we address the problem of online learning to recognize people from visual appearances, a prerequisite step towards building a fully intelligent and context-aware smart environment. While the trajectories of tracked individuals are responsible for producing samples to the appearance signature learning process, it is highly risky to directly label these appearance samples with tracker IDs, due to possible tracker switches and temporary tracker losses. Through the exploration of trajectory fidelity in terms of temporal continuity and spatial locality, we show that the side information from tracking, in the form of pairwise constraints, such as “must-link” and “cannot-link”, could significantly benefit signature learning. Furthermore, to learn and update an online identity signature pool, a two-step approach is proposed: 1) a data clustering step based on spectral kernel learning with pairwise constraints, and 2) a large-margin based discriminative signature model learning step. A real-world setup in a smart office environment is used to evaluate the performance of the learning paradigm. Consistent recognition of individuals from live videos verifies the efficacy and effectiveness of our proposal.
Starting Page	379
Ending Page	384
File Size	889850
Page Count	6
File Format	PDF
ISBN	9781457708442
e-ISBN	9781457708459
e-ISBN	9781457708435
DOI	10.1109/AVSS.2011.6027354
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Accuracy Computational modeling Cameras Data models Trajectory Kernel
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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