Interaction-based Human Activity Comparison

Shen, Yi, Yang, Longzhi, Ho, Edmond and Shum, Hubert (2020) Interaction-based Human Activity Comparison. IEEE Transactions on Visualization and Computer Graphics, 26 (8). pp. 2620-2633. ISSN 1077-2626

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Traditional methods for motion comparison consider features from individual characters. However, the semantic meaning of many human activities is usually defined by the interaction between them, such as a high-five interaction of two characters. There is little success in adapting interaction-based features in activity comparison, as they either do not have a fixed topology or are in high dimensional. In this paper, we propose a unified framework for activity comparison from the interaction point of view. Our new metric evaluates the similarity of interaction by adapting the Earth Mover’s Distance onto a customized geometric mesh structure that represents spatial-temporal interactions. This allows us to compare different classes of interactions and discover their intrinsic semantic similarity. We created five interaction databases of different natures, covering both two characters (synthetic and real-people) and character-object interactions, which are open for public uses. We demonstrate how the proposed metric aligns well with the semantic meaning of the interaction. We also apply the metric in interaction retrieval and show how it outperforms existing ones. The proposed method can be used for unsupervised activity detection in monitoring systems and activity retrieval in smart animation systems.

Item Type: Article
Uncontrolled Keywords: Activity Comparison, Interaction, Human Motion Analysis, Distance Metric, Earth Mover’s Distance
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 10 Jan 2019 12:17
Last Modified: 31 Jul 2021 13:34

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