NDLI: Mitigating the Effects of Variable Illumination for Tracking across Disjoint Camera Views

Content Provider	IEEE Xplore Digital Library
Author	Cheng, E.D. Madden, C. Piccardi, M.
Copyright Year	2006
Description	Author affiliation: University of Technology, Australia (Cheng, E.D.; Madden, C.) \|\| Senior Member, IEEE (Piccardi, M.)
Abstract	Tracking people by their appearance across disjoint camera views is challenging since appearance may vary significantly across such views. This problem has been tackled in the past by computing intensity transfer functions between each camera pair during an initial training stage. However, in real-life situations, intensity transfer functions depend not only on the camera pair, but also on the actual illumination at pixel-wise resolution and may prove impractical to estimate to a satisfactory extent. For this reason, in this paper we propose an appearance representation for people tracking capable of coping with the typical illumination changes occurring in a surveillance scenario. Our appearance representation is based on an online K-means color clustering algorithm, a fixed, data-dependent intensity transformation, and the incremental use of frames. Moreover, a similarity measurement is proposed to match the appearance representations of any two given moving objects along sequences of frames. Experimental results presented in this paper show that the proposed methods provides a viable while effective approach for tracking people across disjoint camera views in typical surveillance scenarios.
Starting Page	32
Ending Page	32
File Size	494019
Page Count	1
File Format	PDF
ISBN	0769526888
DOI	10.1109/AVSS.2006.76
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-22
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Surveillance Layout Phase estimation Lighting Transfer functions Clustering algorithms Cameras Optical reflection Information technology
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

Matching of Objects Moving Across Disjoint Cameras

Object Inter-camera Tracking with Non-overlapping Views: A New Dynamic Approach

Analysis of Brightness Transfer Function for Matching Targets across Networked Cameras

Tracking across multiple cameras with overlapping views based on brightness and tangent transfer functions

Track matching over disjoint camera views based on an incremental major color spectrum histogram

Tracking across non-overlapping views via geometry

Unsupervised path modeling across multiple cameras with disjoint views for foreground object tracking

A framework for track matching across disjoint cameras using robust shape and appearance features

Tracking across multiple cameras with disjoint views

Mitigating the Effects of Variable Illumination for Tracking across Disjoint Camera Views

Similar Documents

Matching of Objects Moving Across Disjoint Cameras

Object Inter-camera Tracking with Non-overlapping Views: A New Dynamic Approach

Analysis of Brightness Transfer Function for Matching Targets across Networked Cameras

Tracking across multiple cameras with overlapping views based on brightness and tangent transfer functions

Track matching over disjoint camera views based on an incremental major color spectrum histogram

Tracking across non-overlapping views via geometry

Unsupervised path modeling across multiple cameras with disjoint views for foreground object tracking

A framework for track matching across disjoint cameras using robust shape and appearance features

Tracking across multiple cameras with disjoint views

Mitigating the Effects of Variable Illumination for Tracking across Disjoint Camera Views