NDLI: Complexity-based motion features and their applications to action recognition by hierarchical spatio-temporal naïve Bayes classifier

Content Provider	IEEE Xplore Digital Library
Author	Woo Young Kwon Il Hong Suh
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. & Comput. Eng., Hanyang Univ., Seoul, South Korea (Woo Young Kwon; Il Hong Suh)
Abstract	In this paper, we propose a complexity-based motion feature learning method and hierarchical spatio-temporal naïve Bayes classifier for human action recognition. As a motion feature learning method, we developed a complexity-based subsequence of time series clustering (C-STSC) method to learn time series codewords from a human motion trajectory. The key to the C-STSC method is to measure the importance of each subsequence in time series data through to use of a complexity measure. Next, time series codewords are learned on the basis of the important subsequences by using a clustering algorithm. Moreover, we also propose a hierarchical spatio-temporal naïve Bayes classifier (HST-NBC) to classify the C-STSC features, where both the codeword-type and its spatio-temporal information is explicitly represented as a composite node in a Bayesian network framework. To validate the proposed method, we present experimental results of the proposed approach with respect to several open datasets.
Starting Page	3141
Ending Page	3148
File Size	1395915
Page Count	8
File Format	PDF
e-ISBN	9781479969340
DOI	10.1109/IROS.2014.6942997
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time series analysis Complexity theory Trajectory Clustering algorithms Random variables Time measurement Joints
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