NDLI: Detection-based multi-human tracking using a CRF model

Content Provider	IEEE Xplore Digital Library
Author	Heili, A. Cheng Chen Odobez, J.-M.
Copyright Year	2011
Description	Author affiliation: Idiap Research Institute - CH-1920 Martigny, Switzerland (Heili, A.; Cheng Chen; Odobez, J.-M.)
Abstract	In surveillance videos, the task of tracking multiple people is of primary importance and is often a preliminary step before applying higher-level algorithms, e.g. to analyze interactions or to recognize behaviors. In this paper, we take a tracking-by-detection approach and formulate multi-person tracking as a statistical data association problem which seeks for the optimal label field in which detections belonging to the same person have the same label. Specifically, unlike most previous works that rely on generative approaches, we use a Conditional Random Field (CRF) model, whose pairwise detection factors, defined for both distance and color features, are modeled using a two-hypothesis framework: a pair of detections corresponds either to the same person or not. Parameters of these two-hypothesis model factors are learned in a fully unsupervised way from data. Optimization is conducted using a deterministic sliding window method. Qualitative and quantitative results on several different surveillance datasets show that our method can generate robust and accurate tracks in spite of the noisy output of the human detector and of occlusions.
Starting Page	1673
Ending Page	1680
File Size	3262788
Page Count	8
File Format	PDF
ISBN	9781467300629
e-ISBN	9781467300636
DOI	10.1109/ICCVW.2011.6130451
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Image color analysis Humans Detectors Data models Optimization Videos
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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