Action-02MCF: A robust space-time correlation filter for action recognition in clutter and adverse lighting conditions

Full text for this resource is not available from the Research Repository.

Ulhaq, Anwaar ORCID: 0000-0002-5145-7276, Yin, Xiaoxia, Zhang, Yanchun ORCID: 0000-0002-5094-5980 and Gondal, Iqbal (2016) Action-02MCF: A robust space-time correlation filter for action recognition in clutter and adverse lighting conditions. In: 17th International Conference of Advanced Concepts for Intelligent Vision System (ACIVS) 2016, 24 October 2016-27 October 2016, Lecce, Italy.

Abstract

Lecture notes in computer science (10016)

Dimensions Badge

Altmetric Badge

Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/34126
DOI 10.1007/978-3-319-48680-2_41
Official URL https://link.springer.com/chapter/10.1007/978-3-31...
ISBN 9783319486796
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics
Keywords human actions recognition; video sequences; filters; filtering; human action datasets; automated action recognition; pattern recognition
Citations in Scopus 2 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login