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Video-Based Human Action Analysis
Invited Talks
Poster: ╱ Post date:2013-05-01 講綱:Human action analysis is a fundamental issue that can be applied to different application domains. In this research, we propose two video processing techniques for human action analysis. First, to automatically analyze a long and unsegmented human action video sequence, we propose a framework for unsupervised analysis of human action based on manifold learning. In the second work, we propose a framework for learning and recognizing atomic human actions using variable-length Markov models (VLMMs).
Last modification time:2015-04-15 PM 4:52