Spatio-temporal shape contexts for human action retrieval

Shao, Ling and Du, Yuanjia (2009) Spatio-temporal shape contexts for human action retrieval. In: IMCE '09 - 1st International Workshop on Interactive Multimedia for Consumer Electronics, 19th - 24th October 2009, Beijing, China.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Motion descriptor, spatio-temporal shape context, action retrieval
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 17 Jun 2015 10:51
Last Modified: 13 Oct 2019 00:25

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