NDLI: Human activity recognition based on silhouette analysis using Local Binary Patterns

Content Provider	IEEE Xplore Digital Library
Author	Han Su Jiayun Zou Wenjie Wang
Copyright Year	2013
Description	Author affiliation: Key Lab. of Virtual Reality & Visual Comput. of Sichuan, Sichuan Normal Univ., Chengdu, China (Han Su) \|\| Coll. of Comput. Sci., Sichuan Normal Univ., Chengdu, China (Jiayun Zou; Wenjie Wang)
Abstract	In this paper, we present a novel method for activity analysis in outdoor environment. Difficulties, such as low resolution, shadows, long distances, and segmentation problems, usually exist in outdoor environment. To deal with these difficulties, the activity width sequence image which maintains 3D features using 2D representation is exploited to represent the silhouette structure information of each frame and dynamic properties of activity. The activity width vectors are converted to the gray value successively according to the order in activity sequence and the gray image is formed in spatio-temporal space. We regard the activity width sequence image as the texture and choose Local Binary Patterns which is a powerful texture extraction operator to analyze the spatio-temporal pattern. The method is simple and effective. We test our method based on the outdoor database and the results are encouraging.
Sponsorship	IEEE Circuits Syst. Soc.
Starting Page	924
Ending Page	929
File Size	331659
Page Count	6
File Format	PDF
ISBN	9781467352536
DOI	10.1109/FSKD.2013.6816327
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Solid modeling Three-dimensional displays Databases Hidden Markov models Local Binary Patterns Educational institutions Vectors Pattern recognition Human Activity Recognition Silhouette Width
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

4D facial expression recognition

A dynamic geometry-based approach for 4D facial expressions recognition

Modeling 4D Human-Object Interactions for Event and Object Recognition

Ultra local binary pattern for image texture analysis

Physiotherapy guidance by motion analysis based on Hidden Markov Model

Fingerprint Geometric Hashing Based on Binary Minutiae Cylinder Codes

Motion Recognition Employing Multiple Kernel Learning of Fisher Vectors Using Local Skeleton Features

Pose Independent Face Recognition by Localizing Local Binary Patterns via Deformation Components

Qualitative study on 3D face databases: A review

Human activity recognition based on silhouette analysis using Local Binary Patterns

Similar Documents

4D facial expression recognition

A dynamic geometry-based approach for 4D facial expressions recognition

Modeling 4D Human-Object Interactions for Event and Object Recognition

Ultra local binary pattern for image texture analysis

Physiotherapy guidance by motion analysis based on Hidden Markov Model

Fingerprint Geometric Hashing Based on Binary Minutiae Cylinder Codes

Motion Recognition Employing Multiple Kernel Learning of Fisher Vectors Using Local Skeleton Features

Pose Independent Face Recognition by Localizing Local Binary Patterns via Deformation Components

Qualitative study on 3D face databases: A review

Human activity recognition based on silhouette analysis using Local Binary Patterns