Spatio-temporal shape contexts for human action retrieval

Authors:
Ling Shao;Yuanjia Du
Affiliations:
Philips Research Laboratories, Eindhoven, Netherlands;NXP Semiconductors, Eindhoven, Netherlands
Venue:
IMCE '09 Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics
Year:
2009

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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.