NDLI: Estimating articulated human pose from video using shape context

Content Provider	IEEE Xplore Digital Library
Author	Qui Xian-Jie Wang Zhao-Qi Xia Shi-Hong Li Jin-Tao
Copyright Year	2005
Description	Author affiliation: Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing (Qui Xian-Jie; Wang Zhao-Qi; Xia Shi-Hong; Li Jin-Tao)
Abstract	Recovery of 3D body pose is a fundamental problem for human motion analysis in many applications such as motion capture, vision interface, visual surveillance, and gesture recognition. In this paper, we present a new image-based approach to infer 3D human structure parameters from uncalibrated video. The estimation is example based. First, we acquire a special motion database through an off-line motion capture process. Second, given an uncalibrated motion video, we abstract the viewpoint and then the silhouettes database associated with 3D poses is built by projecting each data of the 3D motion database into 2D plane. Next, with the image silhouettes, the unknown structure parameters are inferred by performing a similarity search in the silhouettes database. We pay more attention on how to retrieving 3D body pose by matching 2D silhouette based on shape context. Through a lot of experiments, the results we got are really satisfying. To accelerate the process of calculating the distance in shape context, we use PCA (principal components analysis) to reduce the computation of complexity. We use trampoline sport, which is an example of complex human motion, to demonstrate the effectiveness of our approach and compare the results with those obtained with Hu moments method
Starting Page	583
Ending Page	588
File Size	490811
Page Count	6
File Format	PDF
ISBN	0780393139
DOI	10.1109/ISSPIT.2005.1577162
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-12-21
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Humans Shape Image databases Motion analysis Principal component analysis Multidimensional signal processing Video signal processing Surveillance Cameras Video sequences
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

Shape matching in pose reconstruction using shape context

Human action recognition using multi-view image sequences

Face Shape Reconstruction from Image Sequence Taken with Monocular Camera using Shape Database

Estimating human-flow speed for video surveillance by probabilistic stands

Scalability in Human Shape Analysis

Articulated hand tracking by PCA-ICA approach

A data-driven model for monocular face tracking

Tracking articulated bodies using Generalized Expectation Maximization

Adaptive summarisation of surveillance video sequences

Estimating articulated human pose from video using shape context

Similar Documents

Shape matching in pose reconstruction using shape context

Human action recognition using multi-view image sequences

Face Shape Reconstruction from Image Sequence Taken with Monocular Camera using Shape Database

Estimating human-flow speed for video surveillance by probabilistic stands

Scalability in Human Shape Analysis

Articulated hand tracking by PCA-ICA approach

A data-driven model for monocular face tracking

Tracking articulated bodies using Generalized Expectation Maximization

Adaptive summarisation of surveillance video sequences

Estimating articulated human pose from video using shape context