Description
Abstract of the Talk: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, analysis and synthesis, as they either do not have a fixed topology or are in high dimensional. In this talk, I will review some of the existing work in modelling the interactions in human activity. I will also introduce some of the recent work from our research group on the related topics. Finally, the challenges and future research directions will be discussed in the talk.
Period | 15 Jul 2019 |
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Held at | Shenzhen University, China |
Degree of Recognition | National |
Documents & Links
Related content
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Research output
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A Sampling Approach to Generating Closely Interacting 3D Pose-pairs from 2D Annotations
Research output: Contribution to journal › Article › peer-review
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Interaction-based Human Activity Comparison
Research output: Contribution to journal › Article › peer-review