NDLI: Appearance model update based on online learning and soft-biometrics traits for people re-identification in multi-camera environments

Content Provider	IET Digital Library
Author	Moctezuma, Daniela Tellez, Eric S. Jiménez, Sabino Miranda Graff, Mario
Abstract	Intelligent surveillance systems in multi-camera environments pose a hard-open problem for computer vision. The way the people look changes inside and also among cameras, so people re-identification task can be largely improved collecting data about people already identified and take advantage of it as time advances in surveillance video. Furthermore, a camera change or a slight change in the objective traits may require the complete re-formulation of the appearance models. In this paper, we propose several heuristics for updating the appearance model in a multi-camera surveillance environment. Through these heuristics, the subject's appearance model is updated across different time and environmental conditions. The update process is carried out primarily in three different aspects: 1) based on time lapses, 2) based on the change of camera, and 3) based on the automatic selection of the most representative samples selected through decision functions of the classifier. The proposed system focuses on video surveillance environments, that is, the objective is to identify an individual across the set of cameras in the surveillance area, the comparison considers only those people that share time and space. We used four public benchmarks to test our claims; the results confirm the importance of continuous appearance model's updating.
Starting Page	2162
Ending Page	2168
Page Count	7
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 12, Oct (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0083
Journal	IET Image Processing
Publisher Date	2019-08-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Appearance Model Update Biomimetics Camera Camera Change Computer Vision Computer Vision And Image Processing Technique Continuous Appearance Model Hard-open Problem Intelligent Surveillance System Knowledge Engineering Technique Learning in AI Multicamera Environments Multicamera Surveillance Environment Object Detection Objective Traits Online Learning Optical, Image And Video Signal Processing Re-identification Task Slight Change Soft-biometrics Traits Surveillance Surveillance Area Surveillance Videos Time Advances Time Lapses Update Process Video Signal Processing Video Surveillance Video Surveillance Environments
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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

Soft-biometrics evaluation for people re-identification in uncontrolled multi-camera environments

Pedestrian re-identification via coarse-to-fine ranking

HPILN: a feature learning framework for cross-modality person re-identification

Visual tracking with tree-structured appearance model for online learning

Learning multi-planar scene models in multi-camera videos

Deep part-related feature learning for human-level biometrics

Analysing comparative soft biometrics from crowdsourced annotations

Video-based person re-identification based on regularised hull distance learning

Design of vision-based indoor positioning based on embedded system

Appearance model update based on online learning and soft-biometrics traits for people re-identification in multi-camera environments

Similar Documents

Soft-biometrics evaluation for people re-identification in uncontrolled multi-camera environments

Pedestrian re-identification via coarse-to-fine ranking

HPILN: a feature learning framework for cross-modality person re-identification

Visual tracking with tree-structured appearance model for online learning

Learning multi-planar scene models in multi-camera videos

Deep part-related feature learning for human-level biometrics

Analysing comparative soft biometrics from crowdsourced annotations

Video-based person re-identification based on regularised hull distance learning

Design of vision-based indoor positioning based on embedded system

Appearance model update based on online learning and soft-biometrics traits for people re-identification in multi-camera environments