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Self-recognition: body and action
Trends in Cognitive Sciences, 2002How do I know it was me who moved? A recent experimental study illustrates the contribution of one's body schema and awareness of one's own actions to self-recognition. The results provide evidence that bodily cues and action cues are important in self-recognition, and they demonstrate that action cues overrule bodily cues.
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2011
Methods for analyzing humans and their actions from monocular or multi-view video data are required in many different applications. In this chapter simple LBP-based approaches for action recognition are introduced. The methods perform very favorably compared to the state-of-the-art for test video sequences commonly used in the research community.
Matti Pietikäinen +3 more
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Methods for analyzing humans and their actions from monocular or multi-view video data are required in many different applications. In this chapter simple LBP-based approaches for action recognition are introduced. The methods perform very favorably compared to the state-of-the-art for test video sequences commonly used in the research community.
Matti Pietikäinen +3 more
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Cross-Domain Human Action Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012Conventional human action recognition algorithms cannot work well when the amount of training videos is insufficient. We solve this problem by proposing a transfer topic model (TTM), which utilizes information extracted from videos in the auxiliary domain to assist recognition tasks in the target domain. The TTM is well characterized by two aspects: 1)
Wei, Bian, Dacheng, Tao, Yong, Rui
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Action Recognition from One Example
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011We present a novel action recognition method based on space-time locally adaptive regression kernels and the matrix cosine similarity measure. The proposed method uses a single example of an action as a query to find similar matches. It does not require prior knowledge about actions, foreground/background segmentation, or any motion estimation or ...
Hae Jong, Seo, Peyman, Milanfar
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2015
For many machine learning and pattern recognition tasks, most of the data are high dimensional, such as human action videos. Vectorization of action video is one common approach to dealing with the high dimensionality issue. However, the vectorization process requires a huge amount of memory, and it is also very time consuming ...
Chengcheng Jia, Wei Pang, Yun Fu
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For many machine learning and pattern recognition tasks, most of the data are high dimensional, such as human action videos. Vectorization of action video is one common approach to dealing with the high dimensionality issue. However, the vectorization process requires a huge amount of memory, and it is also very time consuming ...
Chengcheng Jia, Wei Pang, Yun Fu
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Recognition in action: DNA mimicry
Journal of Molecular Recognition, 2005AbstractProteins that mimic DNA present a surface that is similar in shape and chemical character to the DNA double helix. These DNA mimics bind to DNA‐binding proteins, taking the place of DNA. Natural DNA mimics play roles in genetic regulation and defense. Copyright © 2005 John Wiley & Sons, Ltd.
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Preliminary Action Recognition
Journal of the Japan Society for Precision Engineering, 2023Yasufumi KAWANO +4 more
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2011
The scope of this chapter is contextual information in analysis of human actions. We first discuss the definition of context in visual action recognition. Context in action recognition is here divided into four categories, object context, scene context, semantic context, and photogrammetric context.
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The scope of this chapter is contextual information in analysis of human actions. We first discuss the definition of context in visual action recognition. Context in action recognition is here divided into four categories, object context, scene context, semantic context, and photogrammetric context.
openaire +1 more source