Spatio-temporal shape contexts for human action retrieval

Ling Shao, Yuanjia Du

Research output: Contribution to conferencePaper

9 Citations (Scopus)

Abstract

A novel method using the combination of spatio-temporal interest points and spatio-temporal shape contexts for human action description and retrieval is proposed. Both the feature points detection and description are invariant to geometric and photometric changes and intra-class variations. The experimental results show that the proposed descriptor is more effective than brightness gradients based motion descriptors for classifying and retrieving challenging human actions.
Original languageEnglish
DOIs
Publication statusPublished - 2009
EventIMCE '09 - 1st International Workshop on Interactive Multimedia for Consumer Electronics - Beijing, China
Duration: 1 Oct 2009 → …

Workshop

WorkshopIMCE '09 - 1st International Workshop on Interactive Multimedia for Consumer Electronics
Period1/10/09 → …

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