The influence of temporal information on human action recognition with large number of classes

O. V.Ramana Murthy, Roland Goecke

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (Scopus)

    Abstract

    Human action recognition from video input has seen much interest over the last decade. In recent years, the trend is clearly towards action recognition in real-world, unconstrained conditions (i.e. not acted) with an ever growing number of action classes. Much of the work so far has used single frames or sequences of frames where each frame was treated individually. This paper investigates the contribution that temporal information can make to human action recognition in the context of a large number of action classes. The key contributions are: (i) We propose a complementary information channel to the Bag-of- Words framework that models the temporal occurrence of the local information in videos. (ii) We investigate the influence of sensible local information whose temporal occurrence is more vital than any local information. The experimental validation on action recognition datasets with the largest number of classes to date shows the effectiveness of the proposed approach.

    Original languageEnglish
    Title of host publication2014 International Conference on Digital Image Computing
    Subtitle of host publicationTechniques and Applications, DICTA 2014
    EditorsSon Lam Phung, Abdesselam Bouzerdoum, Philip Ogunbona, Wanqing Li, Lei Wang
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781479954094
    DOIs
    Publication statusPublished - 12 Jan 2015
    Event2014 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2014 - Wollongong, Australia
    Duration: 25 Nov 201427 Nov 2014

    Publication series

    Name2014 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2014

    Conference

    Conference2014 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2014
    Country/TerritoryAustralia
    CityWollongong
    Period25/11/1427/11/14

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