On the Effect of Human Body Parts in Large Scale Human Behaviour Recognition

Ramana ORUGANTI, Ibrahim Radwan, Abhinav Dhall, Roland GOECKE

Research output: A Conference proceeding or a Chapter in BookConference contribution

4 Citations (Scopus)

Abstract

Automatic analysis of human behaviour in large collections of videos is gaining interest, even more so with the advent of file sharing sites such as YouTube. Human behaviour analysis methods can be categorised into three classes based on the type of features. The three representations are local, region of interest and densely sampled based representations. Local feature representation, such as Spatio-Temporal Interest Points (STIP), are quite popular for modelling temporal aspects in human action recognition. Region of Interest (ROI) based feature representations try to capture and represent human body part regions. Densely sampled representations capture information at uniformly spaced intervals spread in space and temporal directions of the given video. In this paper, we investigate the effect of human body part (ROI) information in large scale action recognition. Further, we also investigate the effect of its fusion with Harris 3D points (local representation) information and densely sampled representations. All experiments use a Bag-of-Words framework. We present our results on large class benchmark databases such as the UCF50 and HMDB51 datasets
Original languageEnglish
Title of host publicationProceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2013)
EditorsPaulo de Souza, Ulrich Engelke, Ashfaqur Rahman
Place of PublicationPiscataway, USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-8
Number of pages8
ISBN (Electronic)9781479921263
DOIs
Publication statusPublished - 2013
Event2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA) - Hobart, Hobart, Australia
Duration: 26 Nov 201328 Nov 2013
http://staff.itee.uq.edu.au/lovell/aprs/dicta13/ (Conference Webpage)

Conference

Conference2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
Abbreviated titleDICTA 2013
CountryAustralia
CityHobart
Period26/11/1328/11/13
Internet address

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ORUGANTI, R., Radwan, I., Dhall, A., & GOECKE, R. (2013). On the Effect of Human Body Parts in Large Scale Human Behaviour Recognition. In P. D. Souza, U. Engelke, & A. Rahman (Eds.), Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2013) (pp. 1-8). Piscataway, USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DICTA.2013.6691507