NDLI: Visual words selection for human action classification

Content Provider	IEEE Xplore Digital Library
Author	Cozar, J.R. Gonzalez-Linares, J.M. Guil, N. Hernandez, R. Heredia, Y.
Copyright Year	2012
Description	Author affiliation: Dept. of Computer Architecture, University of Málaga, Málaga, Spain (Cozar, J.R.; Gonzalez-Linares, J.M.; Guil, N.) \|\| Departamento Señales Digitales, Universidad de las Ciencias Informticas, La Habana, Cuba (Hernandez, R.; Heredia, Y.)
Abstract	Human action classification is an important task in computer vision. The Bag-of-Words model uses spatio-temporal features assigned to visual words of a vocabulary and some classification algorithm to attain this goal. In this work we have studied the effect of reducing the vocabulary size using a video word ranking method. We have applied this method to the KTH dataset to obtain a vocabulary with more descriptive words where the representation is more compact and efficient. Two feature descriptors, STIP and MoSIFT, and two classifiers, KNN and SVM, have been used to check the validity of our approach. Results for different vocabulary sizes show an improvement of the recognition rate whilst reducing the number of words as non-descriptive words are removed. Additionally, state-of-the-art performances are reached with this new compact vocabulary representation.
Starting Page	188
Ending Page	194
File Size	825505
Page Count	7
File Format	PDF
ISBN	9781467323598
e-ISBN	9781467323628
DOI	10.1109/HPCSim.2012.6266910
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-02
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Vocabulary Visualization Histograms Accuracy Humans Feature Selection and Extraction Classification Feature extraction Computer Vision Support Vector Machines
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

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