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Human Action Segmentation Based On A Streaming Uniform Entropy Slice Method, Cheng Peng, Sio-Long Lo, Jie Huang, Ah Chung Tsoi

Faculty of Engineering and Information Sciences - Papers: Part B

Segmentation of human actions is a major research problem in video understanding. A number of existing approaches demonstrate that performing action segmentation before action recognition results in better recognition performance. In this paper, we address the problem of action segmentation in an online manner. We first extend the clustering-based image segmentation approach into a temporal one, where hierarchical supervoxel levels for action segmentation are generated accordingly. We then propose a streaming approach to flatten the hierarchical levels into one based on Uniform Entropy Slice (UES), in order to preserve important information in the video. The flattened level contains the silhouette …